task e2e-llm-inference-service has failed: "step-fail-if-needed" exited with code 1: Error [get-kubeconfig] Found kubeconfig secret: cluster-mjm92-admin-kubeconfig [get-kubeconfig] Wrote kubeconfig to /credentials/cluster-mjm92-kubeconfig [get-kubeconfig] Found admin password secret: cluster-mjm92-admin-password [get-kubeconfig] Retrieved username [get-kubeconfig] Wrote password to /credentials/cluster-mjm92-password [get-kubeconfig] API Server URL: https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443 [get-kubeconfig] Console URL: https://console-openshift-console.apps.5a3657cc-b6b7-4ad8-b3b9-1352a8ff54d6.prod.konfluxeaas.com [clone-repo] auto-sync/master-to-release-v0.17 [clone-repo] https://github.com/opendatahub-io/kserve [clone-repo] Cloning into '/workspace/source'... [clone-repo] Updating files: 69% (2170/3122) Updating files: 70% (2186/3122) Updating files: 71% (2217/3122) Updating files: 72% (2248/3122) Updating files: 73% (2280/3122) Updating files: 74% (2311/3122) Updating files: 75% (2342/3122) Updating files: 76% (2373/3122) Updating files: 77% (2404/3122) Updating files: 78% (2436/3122) Updating files: 79% (2467/3122) Updating files: 80% (2498/3122) Updating files: 81% (2529/3122) Updating files: 82% (2561/3122) Updating files: 83% (2592/3122) Updating files: 84% (2623/3122) Updating files: 85% (2654/3122) Updating files: 86% (2685/3122) Updating files: 87% (2717/3122) Updating files: 88% (2748/3122) Updating files: 89% (2779/3122) Updating files: 90% (2810/3122) Updating files: 91% (2842/3122) Updating files: 92% (2873/3122) Updating files: 93% (2904/3122) Updating files: 94% (2935/3122) Updating files: 95% (2966/3122) Updating files: 96% (2998/3122) Updating files: 97% (3029/3122) Updating files: 98% (3060/3122) Updating files: 99% (3091/3122) Updating files: 100% (3122/3122) Updating files: 100% (3122/3122), done. [e2e-llm-inference-service] + bash [e2e-llm-inference-service] + STATUS_FILE=/test-status/deploy-and-e2e-status [e2e-llm-inference-service] + echo failed [e2e-llm-inference-service] + COMPONENT_NAME=kserve-agent-ci [e2e-llm-inference-service] ++ jq -r --arg component_name kserve-agent-ci '.[$component_name].image' [e2e-llm-inference-service] + export KSERVE_AGENT_IMAGE=quay.io/opendatahub/kserve-agent@sha256:efa5170dfbf022bcebcce2a52f46d5cc0ecf0d04da16e686383c581a5af4af01 [e2e-llm-inference-service] + KSERVE_AGENT_IMAGE=quay.io/opendatahub/kserve-agent@sha256:efa5170dfbf022bcebcce2a52f46d5cc0ecf0d04da16e686383c581a5af4af01 [e2e-llm-inference-service] + COMPONENT_NAME=kserve-controller-ci [e2e-llm-inference-service] ++ jq -r --arg component_name kserve-controller-ci '.[$component_name].image' [e2e-llm-inference-service] + export KSERVE_CONTROLLER_IMAGE=quay.io/opendatahub/kserve-controller@sha256:6ce19ed41348e79d2ca88cd391f7b3995cd34c950bf086d5cb48225dbd8e3ef7 [e2e-llm-inference-service] + KSERVE_CONTROLLER_IMAGE=quay.io/opendatahub/kserve-controller@sha256:6ce19ed41348e79d2ca88cd391f7b3995cd34c950bf086d5cb48225dbd8e3ef7 [e2e-llm-inference-service] + COMPONENT_NAME=kserve-router-ci [e2e-llm-inference-service] ++ jq -r --arg component_name kserve-router-ci '.[$component_name].image' [e2e-llm-inference-service] + export KSERVE_ROUTER_IMAGE=quay.io/opendatahub/kserve-router@sha256:8345cd1e0b8ad942d68e2fe65c99d692fac6452f8ea219efb6700aaf29b3e2fa [e2e-llm-inference-service] + KSERVE_ROUTER_IMAGE=quay.io/opendatahub/kserve-router@sha256:8345cd1e0b8ad942d68e2fe65c99d692fac6452f8ea219efb6700aaf29b3e2fa [e2e-llm-inference-service] + COMPONENT_NAME=kserve-storage-initializer-ci [e2e-llm-inference-service] ++ jq -r --arg component_name kserve-storage-initializer-ci '.[$component_name].image' [e2e-llm-inference-service] + export STORAGE_INITIALIZER_IMAGE=quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] + STORAGE_INITIALIZER_IMAGE=quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] + COMPONENT_NAME=odh-kserve-llmisvc-controller-ci [e2e-llm-inference-service] ++ jq -r --arg component_name odh-kserve-llmisvc-controller-ci '.[$component_name].image' [e2e-llm-inference-service] + export LLMISVC_CONTROLLER_IMAGE=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:617cd5182a17d0c3e7e9b44960dc338dc124b65f51258a031d348dc56a0b98e7 [e2e-llm-inference-service] + LLMISVC_CONTROLLER_IMAGE=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:617cd5182a17d0c3e7e9b44960dc338dc124b65f51258a031d348dc56a0b98e7 [e2e-llm-inference-service] + ./test/scripts/openshift-ci/run-e2e-tests.sh 'llminferenceservice and cluster_cpu and not autoscaling and not tracing' 2 llm-d [e2e-llm-inference-service] INFERENCE_POOL_GROUP=inference.networking.k8s.io (detected from OCP 4.21.24) [e2e-llm-inference-service] Installing on cluster [e2e-llm-inference-service] Using namespace: kserve for KServe components [e2e-llm-inference-service] SKLEARN_IMAGE=quay.io/opendatahub/sklearn-serving-runtime:odh-pr-1733 [e2e-llm-inference-service] OPT_125M_MODEL_URI=s3://example-models/facebook/opt-125m [e2e-llm-inference-service] ERROR_404_ISVC_IMAGE=quay.io/opendatahub/error-404-isvc:odh-pr-1733 [e2e-llm-inference-service] SUCCESS_200_ISVC_IMAGE=quay.io/opendatahub/success-200-isvc:odh-pr-1733 [e2e-llm-inference-service] [INFO] Installing Kustomize v5.8.1 for linux/amd64... [e2e-llm-inference-service] [SUCCESS] Successfully installed Kustomize v5.8.1 to /workspace/source/bin/kustomize [e2e-llm-inference-service] v5.8.1 [e2e-llm-inference-service] make: Entering directory '/workspace/source' [e2e-llm-inference-service] [INFO] Installing yq v4.52.1 for linux/amd64... [e2e-llm-inference-service] [SUCCESS] Successfully installed yq v4.52.1 to /workspace/source/bin/yq [e2e-llm-inference-service] yq (https://github.com/mikefarah/yq/) version v4.52.1 [e2e-llm-inference-service] make: Leaving directory '/workspace/source' [e2e-llm-inference-service] Installing KServe Python SDK ... [e2e-llm-inference-service] [INFO] Installing uv 0.7.8 for linux/amd64... [e2e-llm-inference-service] [SUCCESS] Successfully installed uv 0.7.8 to /workspace/source/bin/uv [e2e-llm-inference-service] warning: Failed to read project metadata (No `pyproject.toml` found in current directory or any parent directory). Running `uv self version` for compatibility. This fallback will be removed in the future; pass `--preview` to force an error. [e2e-llm-inference-service] uv 0.7.8 [e2e-llm-inference-service] Creating virtual environment... [e2e-llm-inference-service] warning: virtualenv's `--clear` has no effect (uv always clears the virtual environment) [e2e-llm-inference-service] Using CPython 3.9.25 interpreter at: /usr/bin/python3 [e2e-llm-inference-service] Creating virtual environment at: .venv [e2e-llm-inference-service] /workspace/source [e2e-llm-inference-service] Using CPython 3.11.13 interpreter at: /usr/bin/python3.11 [e2e-llm-inference-service] Creating virtual environment at: .venv [e2e-llm-inference-service] Resolved 266 packages in 1ms [e2e-llm-inference-service] Building kserve @ file:///workspace/source/python/kserve [e2e-llm-inference-service] Downloading kubernetes (1.9MiB) [e2e-llm-inference-service] Downloading pydantic-core (2.0MiB) [e2e-llm-inference-service] Downloading cryptography (4.3MiB) [e2e-llm-inference-service] Downloading pyarrow (40.1MiB) [e2e-llm-inference-service] Downloading pandas (12.5MiB) [e2e-llm-inference-service] Downloading setuptools (1.2MiB) [e2e-llm-inference-service] Downloading aiohttp (1.7MiB) [e2e-llm-inference-service] Downloading uvloop (3.8MiB) [e2e-llm-inference-service] Downloading black (1.6MiB) [e2e-llm-inference-service] Downloading grpcio (6.4MiB) [e2e-llm-inference-service] Downloading botocore (12.9MiB) [e2e-llm-inference-service] Downloading grpcio-tools (2.5MiB) [e2e-llm-inference-service] Downloading numpy (15.7MiB) [e2e-llm-inference-service] Downloading mypy (17.2MiB) [e2e-llm-inference-service] Downloading portforward (3.9MiB) [e2e-llm-inference-service] Building timeout-sampler==1.0.3 [e2e-llm-inference-service] Building python-simple-logger==2.0.19 [e2e-llm-inference-service] Downloading aiohttp [e2e-llm-inference-service] Downloading pydantic-core [e2e-llm-inference-service] Downloading black [e2e-llm-inference-service] Downloading grpcio-tools [e2e-llm-inference-service] Downloading setuptools [e2e-llm-inference-service] Downloading portforward [e2e-llm-inference-service] Downloading uvloop [e2e-llm-inference-service] Downloading cryptography [e2e-llm-inference-service] Built python-simple-logger==2.0.19 [e2e-llm-inference-service] Downloading grpcio [e2e-llm-inference-service] Downloading kubernetes [e2e-llm-inference-service] Built timeout-sampler==1.0.3 [e2e-llm-inference-service] Downloading numpy [e2e-llm-inference-service] Built kserve @ file:///workspace/source/python/kserve [e2e-llm-inference-service] Downloading pandas [e2e-llm-inference-service] Downloading botocore [e2e-llm-inference-service] Downloading pyarrow [e2e-llm-inference-service] Downloading mypy [e2e-llm-inference-service] Prepared 101 packages in 2.00s [e2e-llm-inference-service] warning: Failed to hardlink files; falling back to full copy. This may lead to degraded performance. [e2e-llm-inference-service] If the cache and target directories are on different filesystems, hardlinking may not be supported. [e2e-llm-inference-service] If this is intentional, set `export UV_LINK_MODE=copy` or use `--link-mode=copy` to suppress this warning. [e2e-llm-inference-service] Installed 101 packages in 408ms [e2e-llm-inference-service] + aiohappyeyeballs==2.6.1 [e2e-llm-inference-service] + aiohttp==3.13.3 [e2e-llm-inference-service] + aiosignal==1.4.0 [e2e-llm-inference-service] + annotated-doc==0.0.4 [e2e-llm-inference-service] + annotated-types==0.7.0 [e2e-llm-inference-service] + anyio==4.9.0 [e2e-llm-inference-service] + attrs==25.3.0 [e2e-llm-inference-service] + avro==1.12.0 [e2e-llm-inference-service] + black==24.3.0 [e2e-llm-inference-service] + boto3==1.37.35 [e2e-llm-inference-service] + botocore==1.37.35 [e2e-llm-inference-service] + cachetools==5.5.2 [e2e-llm-inference-service] + certifi==2025.1.31 [e2e-llm-inference-service] + cffi==2.0.0 [e2e-llm-inference-service] + charset-normalizer==3.4.1 [e2e-llm-inference-service] + click==8.1.8 [e2e-llm-inference-service] + cloudevents==1.11.0 [e2e-llm-inference-service] + colorama==0.4.6 [e2e-llm-inference-service] + colorlog==6.10.1 [e2e-llm-inference-service] + coverage==7.8.0 [e2e-llm-inference-service] + cryptography==46.0.5 [e2e-llm-inference-service] + deprecation==2.1.0 [e2e-llm-inference-service] + durationpy==0.9 [e2e-llm-inference-service] + execnet==2.1.1 [e2e-llm-inference-service] + fastapi==0.136.3 [e2e-llm-inference-service] + frozenlist==1.5.0 [e2e-llm-inference-service] + google-auth==2.39.0 [e2e-llm-inference-service] + grpc-interceptor==0.15.4 [e2e-llm-inference-service] + grpcio==1.78.1 [e2e-llm-inference-service] + grpcio-testing==1.78.1 [e2e-llm-inference-service] + grpcio-tools==1.78.1 [e2e-llm-inference-service] + h11==0.16.0 [e2e-llm-inference-service] + httpcore==1.0.9 [e2e-llm-inference-service] + httptools==0.6.4 [e2e-llm-inference-service] + httpx==0.27.2 [e2e-llm-inference-service] + httpx-retries==0.4.5 [e2e-llm-inference-service] + idna==3.10 [e2e-llm-inference-service] + iniconfig==2.1.0 [e2e-llm-inference-service] + jinja2==3.1.6 [e2e-llm-inference-service] + jmespath==1.0.1 [e2e-llm-inference-service] + kserve==0.19.0 (from file:///workspace/source/python/kserve) [e2e-llm-inference-service] + kubernetes==32.0.1 [e2e-llm-inference-service] + markupsafe==3.0.2 [e2e-llm-inference-service] + multidict==6.4.3 [e2e-llm-inference-service] + mypy==0.991 [e2e-llm-inference-service] + mypy-extensions==1.0.0 [e2e-llm-inference-service] + numpy==2.2.4 [e2e-llm-inference-service] + oauthlib==3.2.2 [e2e-llm-inference-service] + orjson==3.10.16 [e2e-llm-inference-service] + packaging==24.2 [e2e-llm-inference-service] + pandas==2.2.3 [e2e-llm-inference-service] + pathspec==0.12.1 [e2e-llm-inference-service] + platformdirs==4.3.7 [e2e-llm-inference-service] + pluggy==1.5.0 [e2e-llm-inference-service] + portforward==0.7.1 [e2e-llm-inference-service] + prometheus-client==0.21.1 [e2e-llm-inference-service] + propcache==0.3.1 [e2e-llm-inference-service] + protobuf==6.33.5 [e2e-llm-inference-service] + psutil==5.9.8 [e2e-llm-inference-service] + pyarrow==19.0.1 [e2e-llm-inference-service] + pyasn1==0.6.3 [e2e-llm-inference-service] + pyasn1-modules==0.4.2 [e2e-llm-inference-service] + pycparser==2.22 [e2e-llm-inference-service] + pydantic==2.12.4 [e2e-llm-inference-service] + pydantic-core==2.41.5 [e2e-llm-inference-service] + pyjwt==2.12.1 [e2e-llm-inference-service] + pytest==7.4.4 [e2e-llm-inference-service] + pytest-asyncio==0.23.8 [e2e-llm-inference-service] + pytest-cov==5.0.0 [e2e-llm-inference-service] + pytest-httpx==0.30.0 [e2e-llm-inference-service] + pytest-json-report==1.5.0 [e2e-llm-inference-service] + pytest-metadata==3.1.1 [e2e-llm-inference-service] + pytest-xdist==3.6.1 [e2e-llm-inference-service] + python-dateutil==2.9.0.post0 [e2e-llm-inference-service] + python-dotenv==1.1.0 [e2e-llm-inference-service] + python-multipart==0.0.22 [e2e-llm-inference-service] + python-simple-logger==2.0.19 [e2e-llm-inference-service] + pytz==2025.2 [e2e-llm-inference-service] + pyyaml==6.0.2 [e2e-llm-inference-service] + requests==2.32.3 [e2e-llm-inference-service] + requests-oauthlib==2.0.0 [e2e-llm-inference-service] + rsa==4.9.1 [e2e-llm-inference-service] + s3transfer==0.11.4 [e2e-llm-inference-service] + setuptools==78.1.0 [e2e-llm-inference-service] + six==1.17.0 [e2e-llm-inference-service] + sniffio==1.3.1 [e2e-llm-inference-service] + starlette==1.2.1 [e2e-llm-inference-service] + tabulate==0.9.0 [e2e-llm-inference-service] + timeout-sampler==1.0.3 [e2e-llm-inference-service] + timing-asgi==0.3.1 [e2e-llm-inference-service] + tomlkit==0.13.2 [e2e-llm-inference-service] + typing-extensions==4.15.0 [e2e-llm-inference-service] + typing-inspection==0.4.2 [e2e-llm-inference-service] + tzdata==2025.2 [e2e-llm-inference-service] + urllib3==2.6.2 [e2e-llm-inference-service] + uvicorn==0.34.1 [e2e-llm-inference-service] + uvloop==0.21.0 [e2e-llm-inference-service] + watchfiles==1.0.5 [e2e-llm-inference-service] + websocket-client==1.8.0 [e2e-llm-inference-service] + websockets==15.0.1 [e2e-llm-inference-service] + yarl==1.20.0 [e2e-llm-inference-service] Audited 1 package in 47ms [e2e-llm-inference-service] /workspace/source [e2e-llm-inference-service] [INFO] Installing Kustomize v5.8.1 for linux/amd64... [e2e-llm-inference-service] [INFO] Kustomize v5.8.1 is already installed in /workspace/source/bin (>= v5.8.1) [e2e-llm-inference-service] make: Entering directory '/workspace/source' [e2e-llm-inference-service] make: Leaving directory '/workspace/source' [e2e-llm-inference-service] Now using project "kserve" on server "https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443". [e2e-llm-inference-service] [e2e-llm-inference-service] You can add applications to this project with the 'new-app' command. For example, try: [e2e-llm-inference-service] [e2e-llm-inference-service] oc new-app rails-postgresql-example [e2e-llm-inference-service] [e2e-llm-inference-service] to build a new example application in Ruby. Or use kubectl to deploy a simple Kubernetes application: [e2e-llm-inference-service] [e2e-llm-inference-service] kubectl create deployment hello-node --image=registry.k8s.io/e2e-test-images/agnhost:2.43 -- /agnhost serve-hostname [e2e-llm-inference-service] [e2e-llm-inference-service] [INFO] Installing Kustomize v5.8.1 for linux/amd64... [e2e-llm-inference-service] [INFO] Kustomize v5.8.1 is already installed in /workspace/source/bin (>= v5.8.1) [e2e-llm-inference-service] make: Entering directory '/workspace/source' [e2e-llm-inference-service] make: Leaving directory '/workspace/source' [e2e-llm-inference-service] Creating namespace openshift-keda... [e2e-llm-inference-service] namespace/openshift-keda created [e2e-llm-inference-service] Namespace openshift-keda created/ensured. [e2e-llm-inference-service] --- [e2e-llm-inference-service] Creating OperatorGroup openshift-keda... [e2e-llm-inference-service] operatorgroup.operators.coreos.com/openshift-keda created [e2e-llm-inference-service] OperatorGroup openshift-keda created/ensured. [e2e-llm-inference-service] --- [e2e-llm-inference-service] Creating Subscription for openshift-custom-metrics-autoscaler-operator... [e2e-llm-inference-service] subscription.operators.coreos.com/openshift-custom-metrics-autoscaler-operator created [e2e-llm-inference-service] Subscription openshift-custom-metrics-autoscaler-operator created/ensured. [e2e-llm-inference-service] --- [e2e-llm-inference-service] Waiting for openshift-custom-metrics-autoscaler-operator CSV to become ready... [e2e-llm-inference-service] Waiting for CSV to be installed for subscription openshift-custom-metrics-autoscaler-operator... (0/600) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription openshift-custom-metrics-autoscaler-operator... (5/600) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription openshift-custom-metrics-autoscaler-operator... (10/600) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription openshift-custom-metrics-autoscaler-operator... (15/600) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription openshift-custom-metrics-autoscaler-operator... (20/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-2 found, but not yet Succeeded (Phase: Installing). Waiting... (25/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-2 found, but not yet Succeeded (Phase: Installing). Waiting... (30/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-2 found, but not yet Succeeded (Phase: Installing). Waiting... (35/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-2 found, but not yet Succeeded (Phase: Installing). Waiting... (40/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-2 found, but not yet Succeeded (Phase: Installing). Waiting... (45/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-2 is ready (Phase: Succeeded). [e2e-llm-inference-service] --- [e2e-llm-inference-service] Applying KedaController custom resource... [e2e-llm-inference-service] Warning: resource kedacontrollers/keda is missing the kubectl.kubernetes.io/last-applied-configuration annotation which is required by oc apply. oc apply should only be used on resources created declaratively by either oc create --save-config or oc apply. The missing annotation will be patched automatically. [e2e-llm-inference-service] kedacontroller.keda.sh/keda configured [e2e-llm-inference-service] KedaController custom resource applied. [e2e-llm-inference-service] --- [e2e-llm-inference-service] Allowing time for KEDA components to be provisioned by the operator ... [e2e-llm-inference-service] Waiting for KEDA Operator pod (selector: "app=keda-operator") to be ready in namespace openshift-keda... [e2e-llm-inference-service] Waiting for pod -l "app=keda-operator" in namespace "openshift-keda" to be created... [e2e-llm-inference-service] Pod -l "app=keda-operator" in namespace "openshift-keda" found. [e2e-llm-inference-service] Current pods for -l "app=keda-operator" in namespace "openshift-keda": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] keda-operator-77f648d694-992bh 1/1 Running 0 41s [e2e-llm-inference-service] Waiting up to 120s for pod(s) -l "app=keda-operator" in namespace "openshift-keda" to become ready... [e2e-llm-inference-service] pod/keda-operator-77f648d694-992bh condition met [e2e-llm-inference-service] Pod(s) -l "app=keda-operator" in namespace "openshift-keda" are ready. [e2e-llm-inference-service] KEDA Operator pod is ready. [e2e-llm-inference-service] Waiting for KEDA Metrics API Server pod (selector: "app=keda-metrics-apiserver") to be ready in namespace openshift-keda... [e2e-llm-inference-service] Waiting for pod -l "app=keda-metrics-apiserver" in namespace "openshift-keda" to be created... [e2e-llm-inference-service] Pod -l "app=keda-metrics-apiserver" in namespace "openshift-keda" found. [e2e-llm-inference-service] Current pods for -l "app=keda-metrics-apiserver" in namespace "openshift-keda": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] keda-metrics-apiserver-55557df8c-9fzrn 1/1 Running 0 46s [e2e-llm-inference-service] Waiting up to 120s for pod(s) -l "app=keda-metrics-apiserver" in namespace "openshift-keda" to become ready... [e2e-llm-inference-service] pod/keda-metrics-apiserver-55557df8c-9fzrn condition met [e2e-llm-inference-service] Pod(s) -l "app=keda-metrics-apiserver" in namespace "openshift-keda" are ready. [e2e-llm-inference-service] KEDA Metrics API Server pod is ready. [e2e-llm-inference-service] Waiting for KEDA Webhook pod (selector: "app=keda-admission-webhooks") to be ready in namespace openshift-keda... [e2e-llm-inference-service] Waiting for pod -l "app=keda-admission-webhooks" in namespace "openshift-keda" to be created... [e2e-llm-inference-service] Pod -l "app=keda-admission-webhooks" in namespace "openshift-keda" found. [e2e-llm-inference-service] Current pods for -l "app=keda-admission-webhooks" in namespace "openshift-keda": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] keda-admission-56f9798bb4-m69zx 1/1 Running 0 51s [e2e-llm-inference-service] Waiting up to 120s for pod(s) -l "app=keda-admission-webhooks" in namespace "openshift-keda" to become ready... [e2e-llm-inference-service] pod/keda-admission-56f9798bb4-m69zx condition met [e2e-llm-inference-service] Pod(s) -l "app=keda-admission-webhooks" in namespace "openshift-keda" are ready. [e2e-llm-inference-service] KEDA Webhook pod is ready. [e2e-llm-inference-service] --- [e2e-llm-inference-service] ✅ KEDA deployment script finished successfully. [e2e-llm-inference-service] KSERVE_CONTROLLER_IMAGE=quay.io/opendatahub/kserve-controller@sha256:6ce19ed41348e79d2ca88cd391f7b3995cd34c950bf086d5cb48225dbd8e3ef7 [e2e-llm-inference-service] LLMISVC_CONTROLLER_IMAGE=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:617cd5182a17d0c3e7e9b44960dc338dc124b65f51258a031d348dc56a0b98e7 [e2e-llm-inference-service] KSERVE_AGENT_IMAGE=quay.io/opendatahub/kserve-agent@sha256:efa5170dfbf022bcebcce2a52f46d5cc0ecf0d04da16e686383c581a5af4af01 [e2e-llm-inference-service] KSERVE_ROUTER_IMAGE=quay.io/opendatahub/kserve-router@sha256:8345cd1e0b8ad942d68e2fe65c99d692fac6452f8ea219efb6700aaf29b3e2fa [e2e-llm-inference-service] STORAGE_INITIALIZER_IMAGE=quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] Installing KServe via kustomize... [e2e-llm-inference-service] # Warning: 'commonLabels' is deprecated. Please use 'labels' instead. Run 'kustomize edit fix' to update your Kustomization automatically. [e2e-llm-inference-service] # Warning: 'commonLabels' is deprecated. Please use 'labels' instead. Run 'kustomize edit fix' to update your Kustomization automatically. [e2e-llm-inference-service] # Warning: 'commonLabels' is deprecated. Please use 'labels' instead. Run 'kustomize edit fix' to update your Kustomization automatically. [e2e-llm-inference-service] # Warning: 'commonLabels' is deprecated. Please use 'labels' instead. Run 'kustomize edit fix' to update your Kustomization automatically. [e2e-llm-inference-service] # Warning: 'commonLabels' is deprecated. Please use 'labels' instead. Run 'kustomize edit fix' to update your Kustomization automatically. [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/clusterstoragecontainers.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/datascienceclusters.datasciencecluster.opendatahub.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/dscinitializations.dscinitialization.opendatahub.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencegraphs.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencemodelrewrites.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceobjectives.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepoolimports.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepools.inference.networking.k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepools.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceservices.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/llminferenceserviceconfigs.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/llminferenceservices.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/servingruntimes.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/trainedmodels.serving.kserve.io serverside-applied [e2e-llm-inference-service] Waiting for CRDs to be established... [e2e-llm-inference-service] Waiting for CRD inferenceservices.serving.kserve.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD inferenceservices.serving.kserve.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceservices.serving.kserve.io condition met [e2e-llm-inference-service] Waiting for CRD llminferenceserviceconfigs.serving.kserve.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD llminferenceserviceconfigs.serving.kserve.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/llminferenceserviceconfigs.serving.kserve.io condition met [e2e-llm-inference-service] Waiting for CRD clusterstoragecontainers.serving.kserve.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD clusterstoragecontainers.serving.kserve.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/clusterstoragecontainers.serving.kserve.io condition met [e2e-llm-inference-service] Waiting for CRD datascienceclusters.datasciencecluster.opendatahub.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD datascienceclusters.datasciencecluster.opendatahub.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/datascienceclusters.datasciencecluster.opendatahub.io condition met [e2e-llm-inference-service] Applying all resources... [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/clusterstoragecontainers.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/datascienceclusters.datasciencecluster.opendatahub.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/dscinitializations.dscinitialization.opendatahub.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencegraphs.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencemodelrewrites.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceobjectives.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepoolimports.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepools.inference.networking.k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepools.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceservices.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/llminferenceserviceconfigs.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/llminferenceservices.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/servingruntimes.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/trainedmodels.serving.kserve.io serverside-applied [e2e-llm-inference-service] serviceaccount/kserve-controller-manager serverside-applied [e2e-llm-inference-service] serviceaccount/llmisvc-controller-manager serverside-applied [e2e-llm-inference-service] role.rbac.authorization.k8s.io/kserve-leader-election-role serverside-applied [e2e-llm-inference-service] role.rbac.authorization.k8s.io/kserve-llmisvcconfig-read-access serverside-applied [e2e-llm-inference-service] role.rbac.authorization.k8s.io/llmisvc-leader-election-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-admin serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-edit serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-inferenceservice-distro-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-llmisvc-distro-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-llmisvc-manager-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-manager-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-metrics-reader-cluster-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-proxy-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-view serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/openshift-ai-inferenceservice-image-volume-scc serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/openshift-ai-llminferenceservice-scc serverside-applied [e2e-llm-inference-service] rolebinding.rbac.authorization.k8s.io/kserve-leader-election-rolebinding serverside-applied [e2e-llm-inference-service] rolebinding.rbac.authorization.k8s.io/kserve-llmisvcconfig-read-access serverside-applied [e2e-llm-inference-service] rolebinding.rbac.authorization.k8s.io/llmisvc-leader-election-rolebinding serverside-applied [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/kserve-inferenceservice-distro-rolebinding serverside-applied [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/kserve-llmisvc-distro-rolebinding serverside-applied [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/kserve-manager-rolebinding serverside-applied [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/kserve-proxy-rolebinding serverside-applied [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/llmisvc-manager-rolebinding serverside-applied [e2e-llm-inference-service] configmap/inferenceservice-config serverside-applied [e2e-llm-inference-service] configmap/kserve-parameters serverside-applied [e2e-llm-inference-service] secret/kserve-webhook-server-secret serverside-applied [e2e-llm-inference-service] secret/mlpipeline-s3-artifact serverside-applied [e2e-llm-inference-service] service/kserve-controller-manager-metrics-service serverside-applied [e2e-llm-inference-service] service/kserve-controller-manager-service serverside-applied [e2e-llm-inference-service] service/kserve-webhook-server-service serverside-applied [e2e-llm-inference-service] service/llmisvc-controller-manager-service serverside-applied [e2e-llm-inference-service] service/llmisvc-webhook-server-service serverside-applied [e2e-llm-inference-service] service/s3-service serverside-applied [e2e-llm-inference-service] deployment.apps/kserve-controller-manager serverside-applied [e2e-llm-inference-service] deployment.apps/llmisvc-controller-manager serverside-applied [e2e-llm-inference-service] deployment.apps/seaweedfs serverside-applied [e2e-llm-inference-service] networkpolicy.networking.k8s.io/kserve-controller-manager serverside-applied [e2e-llm-inference-service] securitycontextconstraints.security.openshift.io/openshift-ai-inferenceservice-image-volume-scc serverside-applied [e2e-llm-inference-service] securitycontextconstraints.security.openshift.io/openshift-ai-llminferenceservice-scc serverside-applied [e2e-llm-inference-service] clusterstoragecontainer.serving.kserve.io/default serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-decode-template serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-decode-worker-data-parallel serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-multi-node-pd-template-nvidia-cuda serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-multi-node-pd-template-nvidia-cuda-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-multi-node-pd-template-nvidia-cuda-fast-2 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-multi-node-template-nvidia-cuda serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-multi-node-template-nvidia-cuda-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-multi-node-template-nvidia-cuda-fast-2 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-prefill-template serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-prefill-worker-data-parallel serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-router-route serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-scheduler serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-single-node-pd-template-nvidia-cuda serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-single-node-pd-template-nvidia-cuda-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-single-node-pd-template-nvidia-cuda-fast-2 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-single-node-template-nvidia-cuda serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-single-node-template-nvidia-cuda-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-single-node-template-nvidia-cuda-fast-2 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-amd-rocm serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-amd-rocm-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-amd-rocm-fast-2 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-ibm-spyre-ppc64le serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-ibm-spyre-ppc64le-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-ibm-spyre-ppc64le-fast-2 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-ibm-spyre-s390x serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-ibm-spyre-s390x-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-ibm-spyre-s390x-fast-2 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-ibm-spyre-x86 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-ibm-spyre-x86-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-ibm-spyre-x86-fast-2 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-intel-gaudi serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-intel-gaudi-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-intel-gaudi-fast-2 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-tracing serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-worker-data-parallel serverside-applied [e2e-llm-inference-service] mutatingwebhookconfiguration.admissionregistration.k8s.io/inferenceservice.serving.kserve.io serverside-applied [e2e-llm-inference-service] mutatingwebhookconfiguration.admissionregistration.k8s.io/llminferenceservice.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/inferencegraph.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/inferenceservice.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/llminferenceservice.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/llminferenceserviceconfig.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/servingruntime.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/trainedmodel.serving.kserve.io serverside-applied [e2e-llm-inference-service] Waiting for llmisvc-controller-manager to be ready... [e2e-llm-inference-service] Waiting for pod -l "control-plane=llmisvc-controller-manager" in namespace "kserve" to be created... [e2e-llm-inference-service] Pod -l "control-plane=llmisvc-controller-manager" in namespace "kserve" found. [e2e-llm-inference-service] Current pods for -l "control-plane=llmisvc-controller-manager" in namespace "kserve": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] llmisvc-controller-manager-77b6959cf7-zdgdj 0/1 Running 0 7s [e2e-llm-inference-service] Waiting up to 600s for pod(s) -l "control-plane=llmisvc-controller-manager" in namespace "kserve" to become ready... [e2e-llm-inference-service] pod/llmisvc-controller-manager-77b6959cf7-zdgdj condition met [e2e-llm-inference-service] Pod(s) -l "control-plane=llmisvc-controller-manager" in namespace "kserve" are ready. [e2e-llm-inference-service] Re-applying LLMInferenceServiceConfig resources with webhook validation... [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-decode-template is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-decode-template serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-decode-worker-data-parallel is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-decode-worker-data-parallel serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-prefill-template is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-prefill-template serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-prefill-worker-data-parallel is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-prefill-worker-data-parallel serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-router-route serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-scheduler is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-scheduler serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-template is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-tracing serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-worker-data-parallel is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-worker-data-parallel serverside-applied [e2e-llm-inference-service] Applying DSC/DSCI resources... [e2e-llm-inference-service] dscinitialization.dscinitialization.opendatahub.io/test-dsci created [e2e-llm-inference-service] datasciencecluster.datasciencecluster.opendatahub.io/test-dsc created [e2e-llm-inference-service] KServe manual installation complete [e2e-llm-inference-service] 🔧 Configuration: [e2e-llm-inference-service] KServe deployment: ❌ disabled [e2e-llm-inference-service] Kuadrant deployment: ✅ enabled [e2e-llm-inference-service] [e2e-llm-inference-service] Checking OpenShift server version...(4.21.24) [e2e-llm-inference-service] 🎯 Server version (4.21.24) is 4.19.9 or higher - continue with the script [e2e-llm-inference-service] ⏳ Installing cert-manager [e2e-llm-inference-service] namespace/cert-manager-operator created [e2e-llm-inference-service] operatorgroup.operators.coreos.com/openshift-cert-manager-operator created [e2e-llm-inference-service] subscription.operators.coreos.com/openshift-cert-manager-operator created [e2e-llm-inference-service] Waiting for openshift-cert-manager-operator CSV to become ready... [e2e-llm-inference-service] Waiting for CSV to be installed for subscription openshift-cert-manager-operator... (0/300) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription openshift-cert-manager-operator... (5/300) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription openshift-cert-manager-operator... (10/300) [e2e-llm-inference-service] CSV cert-manager-operator.v1.20.0 found, but not yet Succeeded (Phase: Installing). Waiting... (15/300) [e2e-llm-inference-service] CSV cert-manager-operator.v1.20.0 is ready (Phase: Succeeded). [e2e-llm-inference-service] Waiting for CRD certificates.cert-manager.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD certificates.cert-manager.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/certificates.cert-manager.io condition met [e2e-llm-inference-service] ✅ Cert-manager installed [e2e-llm-inference-service] ⏳ Installing openshift-lws-operator [e2e-llm-inference-service] namespace/openshift-lws-operator created [e2e-llm-inference-service] operatorgroup.operators.coreos.com/leader-worker-set created [e2e-llm-inference-service] subscription.operators.coreos.com/leader-worker-set created [e2e-llm-inference-service] Waiting for leader-worker-set CSV to become ready... [e2e-llm-inference-service] Waiting for CSV to be installed for subscription leader-worker-set... (0/300) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription leader-worker-set... (5/300) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription leader-worker-set... (10/300) [e2e-llm-inference-service] CSV leader-worker-set.v1.0.0 is ready (Phase: Succeeded). [e2e-llm-inference-service] Waiting for CRD leaderworkersetoperators.operator.openshift.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD leaderworkersetoperators.operator.openshift.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/leaderworkersetoperators.operator.openshift.io condition met [e2e-llm-inference-service] leaderworkersetoperator.operator.openshift.io/cluster created [e2e-llm-inference-service] ⏳ waiting for openshift-lws-operator to be ready.… [e2e-llm-inference-service] Waiting for pod -l "name=openshift-lws-operator" in namespace "openshift-lws-operator" to be created... [e2e-llm-inference-service] Pod -l "name=openshift-lws-operator" in namespace "openshift-lws-operator" found. [e2e-llm-inference-service] Current pods for -l "name=openshift-lws-operator" in namespace "openshift-lws-operator": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] openshift-lws-operator-fd8ccff4c-9l7vx 1/1 Running 0 10s [e2e-llm-inference-service] Waiting up to 600s for pod(s) -l "name=openshift-lws-operator" in namespace "openshift-lws-operator" to become ready... [e2e-llm-inference-service] pod/openshift-lws-operator-fd8ccff4c-9l7vx condition met [e2e-llm-inference-service] Pod(s) -l "name=openshift-lws-operator" in namespace "openshift-lws-operator" are ready. [e2e-llm-inference-service] ✅ openshift-lws-operator installed [e2e-llm-inference-service] gatewayclass.gateway.networking.k8s.io/openshift-default created [e2e-llm-inference-service] Waiting for pod -l "app=istiod" in namespace "openshift-ingress" to be created... [e2e-llm-inference-service] Pod -l "app=istiod" in namespace "openshift-ingress" found. [e2e-llm-inference-service] Current pods for -l "app=istiod" in namespace "openshift-ingress": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] istiod-openshift-gateway-94bb8fbfd-dlrlc 1/1 Running 0 6s [e2e-llm-inference-service] Waiting up to 600s for pod(s) -l "app=istiod" in namespace "openshift-ingress" to become ready... [e2e-llm-inference-service] pod/istiod-openshift-gateway-94bb8fbfd-dlrlc condition met [e2e-llm-inference-service] Pod(s) -l "app=istiod" in namespace "openshift-ingress" are ready. [e2e-llm-inference-service] ⏳ Creating a Gateway [e2e-llm-inference-service] Error from server (AlreadyExists): namespaces "openshift-ingress" already exists [e2e-llm-inference-service] ⏳ Creating gateway memory ConfigMap for parametersRef (2Gi) [e2e-llm-inference-service] configmap/gateway-proxy-config created [e2e-llm-inference-service] gateway.gateway.networking.k8s.io/openshift-ai-inference created [e2e-llm-inference-service] Waiting for pod -l "serving.kserve.io/gateway=kserve-ingress-gateway" in namespace "openshift-ingress" to be created... [e2e-llm-inference-service] Pod -l "serving.kserve.io/gateway=kserve-ingress-gateway" in namespace "openshift-ingress" found. [e2e-llm-inference-service] Current pods for -l "serving.kserve.io/gateway=kserve-ingress-gateway" in namespace "openshift-ingress": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] openshift-ai-inference-openshift-default-655f7c58b4-hbdjl 0/1 ContainerCreating 0 5s [e2e-llm-inference-service] Waiting up to 600s for pod(s) -l "serving.kserve.io/gateway=kserve-ingress-gateway" in namespace "openshift-ingress" to become ready... [e2e-llm-inference-service] pod/openshift-ai-inference-openshift-default-655f7c58b4-hbdjl condition met [e2e-llm-inference-service] Pod(s) -l "serving.kserve.io/gateway=kserve-ingress-gateway" in namespace "openshift-ingress" are ready. [e2e-llm-inference-service] ⏳ Installing RHCL(Kuadrant) operator [e2e-llm-inference-service] namespace/kuadrant-system created [e2e-llm-inference-service] subscription.operators.coreos.com/rhcl-operator created [e2e-llm-inference-service] operatorgroup.operators.coreos.com/kuadrant created [e2e-llm-inference-service] Waiting for rhcl-operator CSV to become ready... [e2e-llm-inference-service] Waiting for CSV to be installed for subscription rhcl-operator... (0/600) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription rhcl-operator... (5/600) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription rhcl-operator... (10/600) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription rhcl-operator... (15/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.1 found, but not yet Succeeded (Phase: Installing). Waiting... (20/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.1 found, but not yet Succeeded (Phase: Installing). Waiting... (25/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.1 found, but not yet Succeeded (Phase: Installing). Waiting... (30/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.1 is ready (Phase: Succeeded). [e2e-llm-inference-service] Waiting for CRD kuadrants.kuadrant.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD kuadrants.kuadrant.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/kuadrants.kuadrant.io condition met [e2e-llm-inference-service] Waiting for apiserver discovery /apis/kuadrant.io/v1beta1 to list kuadrants (timeout: 120s)… [e2e-llm-inference-service] Discovery for kuadrant.io/v1beta1 includes kuadrants. [e2e-llm-inference-service] ⏳ sleeping 30s after discovery (RESTMapper can trail discovery)… [e2e-llm-inference-service] kuadrant.kuadrant.io/kuadrant created [e2e-llm-inference-service] ⏳ waiting for Kuadrant Ready (attempt 1/2, timeout 5m)… [e2e-llm-inference-service] kuadrant.kuadrant.io/kuadrant condition met [e2e-llm-inference-service] Waiting for pod -l "control-plane=authorino-operator" in namespace "kuadrant-system" to be created... [e2e-llm-inference-service] Pod -l "control-plane=authorino-operator" in namespace "kuadrant-system" found. [e2e-llm-inference-service] Current pods for -l "control-plane=authorino-operator" in namespace "kuadrant-system": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] authorino-operator-6d85f6564-wb76k 1/1 Running 0 67s [e2e-llm-inference-service] Waiting up to 600s for pod(s) -l "control-plane=authorino-operator" in namespace "kuadrant-system" to become ready... [e2e-llm-inference-service] pod/authorino-operator-6d85f6564-wb76k condition met [e2e-llm-inference-service] Pod(s) -l "control-plane=authorino-operator" in namespace "kuadrant-system" are ready. [e2e-llm-inference-service] ⏳ waiting for authorino service to be created... [e2e-llm-inference-service] service/authorino-authorino-authorization condition met [e2e-llm-inference-service] service/authorino-authorino-authorization annotated [e2e-llm-inference-service] Warning: resource authorinos/authorino is missing the kubectl.kubernetes.io/last-applied-configuration annotation which is required by oc apply. oc apply should only be used on resources created declaratively by either oc create --save-config or oc apply. The missing annotation will be patched automatically. [e2e-llm-inference-service] authorino.operator.authorino.kuadrant.io/authorino configured [e2e-llm-inference-service] Waiting for pod -l "control-plane=authorino-operator" in namespace "kuadrant-system" to be created... [e2e-llm-inference-service] Pod -l "control-plane=authorino-operator" in namespace "kuadrant-system" found. [e2e-llm-inference-service] Current pods for -l "control-plane=authorino-operator" in namespace "kuadrant-system": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] authorino-operator-6d85f6564-wb76k 1/1 Running 0 77s [e2e-llm-inference-service] Waiting up to 600s for pod(s) -l "control-plane=authorino-operator" in namespace "kuadrant-system" to become ready... [e2e-llm-inference-service] pod/authorino-operator-6d85f6564-wb76k condition met [e2e-llm-inference-service] Pod(s) -l "control-plane=authorino-operator" in namespace "kuadrant-system" are ready. [e2e-llm-inference-service] ✅ kuadrant(authorino) installed [e2e-llm-inference-service] Patching ingress domain... [e2e-llm-inference-service] configmap/inferenceservice-config patched [e2e-llm-inference-service] pod "kserve-controller-manager-68b649c569-6j8wk" deleted [e2e-llm-inference-service] Waiting for kserve-controller-manager to be ready... [e2e-llm-inference-service] pod/kserve-controller-manager-68b649c569-2dg6m condition met [e2e-llm-inference-service] Installing ODH Model Controller manually... [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/accounts.nim.opendatahub.io created [e2e-llm-inference-service] serviceaccount/model-serving-api created [e2e-llm-inference-service] serviceaccount/odh-model-controller created [e2e-llm-inference-service] role.rbac.authorization.k8s.io/leader-election-role created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/account-editor-role created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/account-viewer-role created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-prometheus-k8s created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/metrics-reader created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/model-serving-api created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/odh-model-controller-role created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/proxy-role created [e2e-llm-inference-service] rolebinding.rbac.authorization.k8s.io/leader-election-rolebinding created [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/model-serving-api created [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/odh-model-controller-rolebinding-opendatahub created [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/proxy-rolebinding created [e2e-llm-inference-service] configmap/odh-model-controller-parameters created [e2e-llm-inference-service] service/model-serving-api created [e2e-llm-inference-service] service/odh-model-controller-metrics-service created [e2e-llm-inference-service] service/odh-model-controller-webhook-service created [e2e-llm-inference-service] deployment.apps/model-serving-api created [e2e-llm-inference-service] deployment.apps/odh-model-controller created [e2e-llm-inference-service] servicemonitor.monitoring.coreos.com/model-serving-api-metrics created [e2e-llm-inference-service] servicemonitor.monitoring.coreos.com/odh-model-controller-metrics-monitor created [e2e-llm-inference-service] template.template.openshift.io/autogluon-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/guardrails-detector-huggingface-serving-template created [e2e-llm-inference-service] template.template.openshift.io/kserve-ovms created [e2e-llm-inference-service] template.template.openshift.io/mlserver-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-x86-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-x86-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-x86-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-cuda-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-cuda-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-cuda-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-gaudi-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-gaudi-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-gaudi-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-multinode-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-multinode-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-multinode-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-rocm-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-rocm-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-rocm-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-ppc64le-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-ppc64le-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-ppc64le-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-s390x-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-s390x-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-s390x-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-x86-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-x86-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-x86-runtime-template-fast-2 created [e2e-llm-inference-service] mutatingwebhookconfiguration.admissionregistration.k8s.io/mutating.odh-model-controller.opendatahub.io created [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/validating.odh-model-controller.opendatahub.io created [e2e-llm-inference-service] Waiting for deployment "odh-model-controller" rollout to finish: 0 of 1 updated replicas are available... [e2e-llm-inference-service] deployment "odh-model-controller" successfully rolled out [e2e-llm-inference-service] networkpolicy.networking.k8s.io/allow-all created [e2e-llm-inference-service] KServe setup complete (namespace: kserve) [e2e-llm-inference-service] Add testing models to SeaweedFS S3 storage ... [e2e-llm-inference-service] Waiting for SeaweedFS deployment to be ready... [e2e-llm-inference-service] deployment "seaweedfs" successfully rolled out [e2e-llm-inference-service] S3 init job not completed, re-creating... [e2e-llm-inference-service] job.batch/s3-init replaced [e2e-llm-inference-service] Waiting for S3 init job to complete... [e2e-llm-inference-service] job.batch/s3-init condition met [e2e-llm-inference-service] Prepare CI namespace and install ServingRuntimes [e2e-llm-inference-service] Setting up CI namespace: kserve-ci-e2e-test [e2e-llm-inference-service] Tearing down CI namespace: kserve-ci-e2e-test [e2e-llm-inference-service] Namespace kserve-ci-e2e-test does not exist, skipping deletion [e2e-llm-inference-service] CI namespace teardown complete [e2e-llm-inference-service] Creating namespace kserve-ci-e2e-test [e2e-llm-inference-service] namespace/kserve-ci-e2e-test created [e2e-llm-inference-service] Applying S3 artifact secret [e2e-llm-inference-service] secret/mlpipeline-s3-artifact created [e2e-llm-inference-service] Applying storage-config secret [e2e-llm-inference-service] secret/storage-config created [e2e-llm-inference-service] Applying SeaweedFS S3 credentials secret [e2e-llm-inference-service] secret/seaweedfs-s3-creds created [e2e-llm-inference-service] Linking seaweedfs-s3-creds to default service account [e2e-llm-inference-service] Creating odh-trusted-ca-bundle configmap [e2e-llm-inference-service] configmap/odh-trusted-ca-bundle created [e2e-llm-inference-service] Installing ServingRuntimes [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-autogluonserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-huggingfaceserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-huggingfaceserver-multinode created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-lgbserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-mlserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-paddleserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-pmmlserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-predictiveserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-sklearnserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-tensorflow-serving created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-torchserve created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-tritonserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-vllmserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-xgbserver created [e2e-llm-inference-service] CI namespace setup complete [e2e-llm-inference-service] Setup complete [e2e-llm-inference-service] === E2E cluster / operator summary === [e2e-llm-inference-service] Client Version: 4.20.11 [e2e-llm-inference-service] Kustomize Version: v5.6.0 [e2e-llm-inference-service] Server Version: 4.21.24 [e2e-llm-inference-service] Kubernetes Version: v1.34.9 [e2e-llm-inference-service] ClusterVersion desired: 4.21.24 [e2e-llm-inference-service] ClusterVersion history (latest): 4.21.24 (Completed) [e2e-llm-inference-service] CSVs in kuadrant-system: [e2e-llm-inference-service] authorino-operator.v1.4.1 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.0 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.1 Succeeded [e2e-llm-inference-service] CSVs in openshift-keda: [e2e-llm-inference-service] authorino-operator.v1.4.1 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] custom-metrics-autoscaler.v2.19.0-2 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.0 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.1 Succeeded [e2e-llm-inference-service] CSVs in cert-manager-operator: [e2e-llm-inference-service] authorino-operator.v1.4.1 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.0 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.1 Succeeded [e2e-llm-inference-service] CSVs in openshift-lws-operator: [e2e-llm-inference-service] authorino-operator.v1.4.1 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.0 Succeeded [e2e-llm-inference-service] leader-worker-set.v1.0.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.0 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.1 Succeeded [e2e-llm-inference-service] CSVs in openshift-operators (ODH / shared operators, filtered): [e2e-llm-inference-service] authorino-operator.v1.4.1 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.0 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.1 Succeeded [e2e-llm-inference-service] Kuadrant / Authorino (diagnostics): [e2e-llm-inference-service] CRD kuadrants.kuadrant.io versions: v1beta1 served=true storage=true [e2e-llm-inference-service] Subscriptions in kuadrant-system: [e2e-llm-inference-service] authorino-operator-stable-redhat-operators-openshift-marketplace stable redhat-operators authorino-operator.v1.4.1 [e2e-llm-inference-service] dns-operator-stable-redhat-operators-openshift-marketplace stable redhat-operators dns-operator.v1.4.0 [e2e-llm-inference-service] limitador-operator-stable-redhat-operators-openshift-marketplace stable redhat-operators limitador-operator.v1.4.0 [e2e-llm-inference-service] rhcl-operator stable redhat-operators rhcl-operator.v1.4.1 [e2e-llm-inference-service] Kuadrant CR conditions (kuadrant/kuadrant-system): [e2e-llm-inference-service] Ready=True (Ready) [e2e-llm-inference-service] KServe deployments in kserve: [e2e-llm-inference-service] kserve-controller-manager: ready=1 image=quay.io/opendatahub/kserve-controller@sha256:6ce19ed41348e79d2ca88cd391f7b3995cd34c950bf086d5cb48225dbd8e3ef7 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-controller@sha256:6ce19ed41348e79d2ca88cd391f7b3995cd34c950bf086d5cb48225dbd8e3ef7 [e2e-llm-inference-service] odh-model-controller: ready=1 image=quay.io/opendatahub/odh-model-controller:fast [e2e-llm-inference-service] imageID: quay.io/opendatahub/odh-model-controller@sha256:5ce69c3ae5bc6b3b4888343ec0c55c7e1c8a05304b25bfbd157358fc4c26ee52 [e2e-llm-inference-service] llmisvc-controller-manager: ready=1 image=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:617cd5182a17d0c3e7e9b44960dc338dc124b65f51258a031d348dc56a0b98e7 [e2e-llm-inference-service] imageID: quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:617cd5182a17d0c3e7e9b44960dc338dc124b65f51258a031d348dc56a0b98e7 [e2e-llm-inference-service] === End E2E cluster / operator summary === [e2e-llm-inference-service] /workspace/source [e2e-llm-inference-service] CA certificate extracted [e2e-llm-inference-service] REQUESTS_CA_BUNDLE=/tmp/ca.crt [e2e-llm-inference-service] Run E2E tests: llminferenceservice and cluster_cpu and not autoscaling and not tracing [e2e-llm-inference-service] Starting E2E functional tests ... [e2e-llm-inference-service] Parallelism requested for pytest is 2 [e2e-llm-inference-service] ============================= test session starts ============================== [e2e-llm-inference-service] platform linux -- Python 3.11.13, pytest-7.4.4, pluggy-1.5.0 -- /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] cachedir: .pytest_cache [e2e-llm-inference-service] metadata: {'Python': '3.11.13', 'Platform': 'Linux-5.14.0-570.122.1.el9_6.x86_64-x86_64-with-glibc2.34', 'Packages': {'pytest': '7.4.4', 'pluggy': '1.5.0'}, 'Plugins': {'xdist': '3.6.1', 'httpx': '0.30.0', 'anyio': '4.9.0', 'asyncio': '0.23.8', 'metadata': '3.1.1', 'json-report': '1.5.0', 'cov': '5.0.0'}, 'PLATFORM': 'el9'} [e2e-llm-inference-service] rootdir: /workspace/source/test/e2e [e2e-llm-inference-service] configfile: pytest.ini [e2e-llm-inference-service] plugins: xdist-3.6.1, httpx-0.30.0, anyio-4.9.0, asyncio-0.23.8, metadata-3.1.1, json-report-1.5.0, cov-5.0.0 [e2e-llm-inference-service] asyncio: mode=Mode.STRICT [e2e-llm-inference-service] created: 2/2 workers [e2e-llm-inference-service] 2 workers [42 items] [e2e-llm-inference-service] [e2e-llm-inference-service] scheduling tests via WorkStealingScheduling [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_gateway_section_name.py::test_gateway_section_name_propagation[cluster_single_node-cluster_cpu-with-section-name] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-precise-prefix-cache-inline-config-workload-llmd-simulator-kvcache] 2026-07-13 20:31:36.355 6143 kserve INFO [conftest.py:configure_logger():40] Logger configured [e2e-llm-inference-service] 2026-07-13 20:31:36.355 6140 kserve INFO [conftest.py:configure_logger():40] Logger configured [e2e-llm-inference-service] 2026-07-13 20:31:36.427 6140 kserve.trace Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 20:31:36.427 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 20:31:36.454 6140 kserve.trace Resource not found, creating Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-13 20:31:36.454 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():62] Resource not found, creating Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-13 20:31:36.465 6140 kserve.trace ✓ Successfully created Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-13 20:31:36.465 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():70] ✓ Successfully created Gateway router-gateway-1 [e2e-llm-inference-service] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_gateway_section_name.py::test_gateway_section_name_propagation[cluster_single_node-cluster_cpu-with-section-name] [e2e-llm-inference-service] llmisvc/test_gateway_section_name.py::test_gateway_section_name_propagation[cluster_single_node-cluster_cpu-without-section-name] 2026-07-13 20:31:44.547 6140 kserve.trace Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 20:31:44.547 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 20:31:44.587 6140 kserve.trace ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-13 20:31:44.587 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():57] ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_gateway_section_name.py::test_gateway_section_name_propagation[cluster_single_node-cluster_cpu-without-section-name] [e2e-llm-inference-service] llmisvc/test_llm_auth.py::test_llm_auth_enabled_requires_token[cluster_cpu-cluster_single_node-auth-enabled-default] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-precise-prefix-cache-inline-config-workload-llmd-simulator-kvcache] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator0] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator0] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator1] [e2e-llm-inference-service] [gw0] FAILED llmisvc/test_llm_auth.py::test_llm_auth_enabled_requires_token[cluster_cpu-cluster_single_node-auth-enabled-default] [e2e-llm-inference-service] llmisvc/test_llm_auth.py::test_llm_auth_invalid_token_rejected[cluster_cpu-cluster_single_node-auth-invalid-token] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_llm_auth.py::test_llm_auth_invalid_token_rejected[cluster_cpu-cluster_single_node-auth-invalid-token] [e2e-llm-inference-service] llmisvc/test_llm_auth.py::test_llm_auth_disabled_no_token_required[cluster_cpu-cluster_single_node-auth-disabled] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_llm_auth.py::test_llm_auth_disabled_no_token_required[cluster_cpu-cluster_single_node-auth-disabled] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-gateway-ref-router-with-managed-route-model-fb-opt-125m-workload-llmd-simulator] 2026-07-13 20:52:26.162 6140 kserve.trace Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 20:52:26.162 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 20:52:26.202 6140 kserve.trace ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-13 20:52:26.202 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():57] ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] [e2e-llm-inference-service] [gw1] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator1] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator2] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-gateway-ref-router-with-managed-route-model-fb-opt-125m-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw0] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-scheduler-managed-workload-single-cpu-model-fb-opt-125m] 2026-07-13 21:11:49.676 6140 kserve.trace Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:11:49.676 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:11:49.718 6140 kserve.trace ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-13 21:11:49.718 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():57] ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-13 21:11:49.718 6140 kserve.trace Checking HttpRoute router-route-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:11:49.718 6140 kserve.trace INFO [gw_api.py:create_or_update_route():121] Checking HttpRoute router-route-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:11:49.722 6140 kserve.trace Resource not found, creating HttpRoute router-route-1 [e2e-llm-inference-service] 2026-07-13 21:11:49.722 6140 kserve.trace INFO [gw_api.py:create_or_update_route():149] Resource not found, creating HttpRoute router-route-1 [e2e-llm-inference-service] 2026-07-13 21:11:49.734 6140 kserve.trace ✓ Successfully created HttpRoute router-route-1 [e2e-llm-inference-service] 2026-07-13 21:11:49.734 6140 kserve.trace INFO [gw_api.py:create_or_update_route():157] ✓ Successfully created HttpRoute router-route-1 [e2e-llm-inference-service] 2026-07-13 21:11:49.734 6140 kserve.trace Checking HttpRoute router-route-2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:11:49.734 6140 kserve.trace INFO [gw_api.py:create_or_update_route():121] Checking HttpRoute router-route-2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:11:49.738 6140 kserve.trace Resource not found, creating HttpRoute router-route-2 [e2e-llm-inference-service] 2026-07-13 21:11:49.738 6140 kserve.trace INFO [gw_api.py:create_or_update_route():149] Resource not found, creating HttpRoute router-route-2 [e2e-llm-inference-service] 2026-07-13 21:11:49.749 6140 kserve.trace ✓ Successfully created HttpRoute router-route-2 [e2e-llm-inference-service] 2026-07-13 21:11:49.749 6140 kserve.trace INFO [gw_api.py:create_or_update_route():157] ✓ Successfully created HttpRoute router-route-2 [e2e-llm-inference-service] [e2e-llm-inference-service] [gw1] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator2] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf0] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf0] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf1] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] 2026-07-13 21:21:13.823 6140 kserve.trace Checking Gateway router-gateway-2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:21:13.823 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:21:13.851 6140 kserve.trace Resource not found, creating Gateway router-gateway-2 [e2e-llm-inference-service] 2026-07-13 21:21:13.851 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():62] Resource not found, creating Gateway router-gateway-2 [e2e-llm-inference-service] 2026-07-13 21:21:13.859 6140 kserve.trace ✓ Successfully created Gateway router-gateway-2 [e2e-llm-inference-service] 2026-07-13 21:21:13.859 6140 kserve.trace INFO [gw_api.py:create_or_update_gateway():70] ✓ Successfully created Gateway router-gateway-2 [e2e-llm-inference-service] 2026-07-13 21:21:13.860 6140 kserve.trace Checking HttpRoute router-route-3 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:21:13.860 6140 kserve.trace INFO [gw_api.py:create_or_update_route():121] Checking HttpRoute router-route-3 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:21:13.863 6140 kserve.trace Resource not found, creating HttpRoute router-route-3 [e2e-llm-inference-service] 2026-07-13 21:21:13.863 6140 kserve.trace INFO [gw_api.py:create_or_update_route():149] Resource not found, creating HttpRoute router-route-3 [e2e-llm-inference-service] 2026-07-13 21:21:13.877 6140 kserve.trace ✓ Successfully created HttpRoute router-route-3 [e2e-llm-inference-service] 2026-07-13 21:21:13.877 6140 kserve.trace INFO [gw_api.py:create_or_update_route():157] ✓ Successfully created HttpRoute router-route-3 [e2e-llm-inference-service] 2026-07-13 21:21:13.877 6140 kserve.trace Checking HttpRoute router-route-4 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:21:13.877 6140 kserve.trace INFO [gw_api.py:create_or_update_route():121] Checking HttpRoute router-route-4 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-13 21:21:13.880 6140 kserve.trace Resource not found, creating HttpRoute router-route-4 [e2e-llm-inference-service] 2026-07-13 21:21:13.880 6140 kserve.trace INFO [gw_api.py:create_or_update_route():149] Resource not found, creating HttpRoute router-route-4 [e2e-llm-inference-service] 2026-07-13 21:21:13.889 6140 kserve.trace ✓ Successfully created HttpRoute router-route-4 [e2e-llm-inference-service] 2026-07-13 21:21:13.889 6140 kserve.trace INFO [gw_api.py:create_or_update_route():157] ✓ Successfully created HttpRoute router-route-4 [e2e-llm-inference-service] [e2e-llm-inference-service] [gw1] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf1] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-pvc] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-pvc] [e2e-llm-inference-service] [gw0] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-no-scheduler-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-pvc] [e2e-llm-inference-service] [gw0] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-no-scheduler-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_v1alpha1_to_v1alpha2_conversion [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_v1alpha1_to_v1alpha2_conversion [e2e-llm-inference-service] llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_v1alpha2_to_v1alpha1_conversion [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_v1alpha2_to_v1alpha1_conversion [e2e-llm-inference-service] llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_criticality_preservation_via_annotations [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_criticality_preservation_via_annotations [e2e-llm-inference-service] llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_lora_criticality_preservation [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_lora_criticality_preservation [e2e-llm-inference-service] llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_round_trip_conversion_preserves_fields [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_round_trip_conversion_preserves_fields [e2e-llm-inference-service] llmisvc/test_llm_inference_service_stop.py::test_llm_stop_feature[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_stop.py::test_llm_stop_feature[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_lora_adapters.py::test_llm_with_lora_adapters[cluster_cpu-single-lora-adapter-hf] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_lora_adapters.py::test_llm_with_lora_adapters[cluster_cpu-single-lora-adapter-hf] [e2e-llm-inference-service] llmisvc/test_llm_lora_adapters.py::test_llm_with_lora_adapters[cluster_cpu-multiple-lora-adapters] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_lora_adapters.py::test_llm_with_lora_adapters[cluster_cpu-multiple-lora-adapters] [e2e-llm-inference-service] llmisvc/test_llm_tls.py::test_llm_tls_resources[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw0] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_tls.py::test_llm_tls_resources[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_prestop_hook.py::test_prestop_hook[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_prestop_hook.py::test_prestop_hook[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_rolling_upgrade.py::test_rolling_upgrade_coordination[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-model-fb-opt-125m] [e2e-llm-inference-service] [gw1] ERROR llmisvc/test_rolling_upgrade.py::test_rolling_upgrade_coordination[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_storage_version_migration.py::TestStorageVersionMigration::test_storage_version_migration_after_simulated_upgrade [e2e-llm-inference-service] [gw1] FAILED llmisvc/test_storage_version_migration.py::TestStorageVersionMigration::test_storage_version_migration_after_simulated_upgrade [e2e-llm-inference-service] [e2e-llm-inference-service] ==================================== ERRORS ==================================== [e2e-llm-inference-service] _ ERROR at setup of test_rolling_upgrade_coordination[router-managed-workload-llmd-simulator-model-fb-opt-125m] _ [e2e-llm-inference-service] [gw1] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] llm_config = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...grade-64e041bd', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}} [e2e-llm-inference-service] namespace = 'kserve-ci-e2e-test' [e2e-llm-inference-service] [e2e-llm-inference-service] def _create_or_update_llmisvc_config(kserve_client, llm_config, namespace=None): [e2e-llm-inference-service] """Create or update an LLMInferenceServiceConfig resource.""" [e2e-llm-inference-service] version = llm_config["apiVersion"].split("/")[1] [e2e-llm-inference-service] [e2e-llm-inference-service] if namespace is None: [e2e-llm-inference-service] namespace = llm_config.get("metadata", {}).get("namespace", "default") [e2e-llm-inference-service] [e2e-llm-inference-service] name = llm_config.get("metadata", {}).get("name") [e2e-llm-inference-service] if not name: [e2e-llm-inference-service] raise ValueError("LLMInferenceServiceConfig must have a name in metadata") [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Checking LLMInferenceServiceConfig {name} in namespace {namespace}") [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > existing_config = kserve_client.api_instance.get_namespaced_custom_object( [e2e-llm-inference-service] constants.KSERVE_GROUP, [e2e-llm-inference-service] version, [e2e-llm-inference-service] namespace, [e2e-llm-inference-service] KSERVE_PLURAL_LLMINFERENCESERVICECONFIG, [e2e-llm-inference-service] name, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/fixtures.py:1589: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] group = 'serving.kserve.io', version = 'v1alpha1' [e2e-llm-inference-service] namespace = 'kserve-ci-e2e-test', plural = 'llminferenceserviceconfigs' [e2e-llm-inference-service] name = 'router-managed-rolling-upgrade-64e041bd' [e2e-llm-inference-service] kwargs = {'_return_http_data_only': True} [e2e-llm-inference-service] [e2e-llm-inference-service] def get_namespaced_custom_object(self, group, version, namespace, plural, name, **kwargs): # noqa: E501 [e2e-llm-inference-service] """get_namespaced_custom_object # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] Returns a namespace scoped custom object # noqa: E501 [e2e-llm-inference-service] This method makes a synchronous HTTP request by default. To make an [e2e-llm-inference-service] asynchronous HTTP request, please pass async_req=True [e2e-llm-inference-service] >>> thread = api.get_namespaced_custom_object(group, version, namespace, plural, name, async_req=True) [e2e-llm-inference-service] >>> result = thread.get() [e2e-llm-inference-service] [e2e-llm-inference-service] :param async_req bool: execute request asynchronously [e2e-llm-inference-service] :param str group: the custom resource's group (required) [e2e-llm-inference-service] :param str version: the custom resource's version (required) [e2e-llm-inference-service] :param str namespace: The custom resource's namespace (required) [e2e-llm-inference-service] :param str plural: the custom resource's plural name. For TPRs this would be lowercase plural kind. (required) [e2e-llm-inference-service] :param str name: the custom object's name (required) [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] :return: object [e2e-llm-inference-service] If the method is called asynchronously, [e2e-llm-inference-service] returns the request thread. [e2e-llm-inference-service] """ [e2e-llm-inference-service] kwargs['_return_http_data_only'] = True [e2e-llm-inference-service] > return self.get_namespaced_custom_object_with_http_info(group, version, namespace, plural, name, **kwargs) # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:1632: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] group = 'serving.kserve.io', version = 'v1alpha1' [e2e-llm-inference-service] namespace = 'kserve-ci-e2e-test', plural = 'llminferenceserviceconfigs' [e2e-llm-inference-service] name = 'router-managed-rolling-upgrade-64e041bd' [e2e-llm-inference-service] kwargs = {'_return_http_data_only': True} [e2e-llm-inference-service] local_var_params = {'_return_http_data_only': True, 'all_params': ['group', 'version', 'namespace', 'plural', 'name', 'async_req', ...], 'auth_settings': ['BearerToken'], 'body_params': None, ...} [e2e-llm-inference-service] all_params = ['group', 'version', 'namespace', 'plural', 'name', 'async_req', ...] [e2e-llm-inference-service] key = '_return_http_data_only', val = True, collection_formats = {} [e2e-llm-inference-service] path_params = {'group': 'serving.kserve.io', 'name': 'router-managed-rolling-upgrade-64e041bd', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceserviceconfigs', ...} [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] [e2e-llm-inference-service] def get_namespaced_custom_object_with_http_info(self, group, version, namespace, plural, name, **kwargs): # noqa: E501 [e2e-llm-inference-service] """get_namespaced_custom_object # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] Returns a namespace scoped custom object # noqa: E501 [e2e-llm-inference-service] This method makes a synchronous HTTP request by default. To make an [e2e-llm-inference-service] asynchronous HTTP request, please pass async_req=True [e2e-llm-inference-service] >>> thread = api.get_namespaced_custom_object_with_http_info(group, version, namespace, plural, name, async_req=True) [e2e-llm-inference-service] >>> result = thread.get() [e2e-llm-inference-service] [e2e-llm-inference-service] :param async_req bool: execute request asynchronously [e2e-llm-inference-service] :param str group: the custom resource's group (required) [e2e-llm-inference-service] :param str version: the custom resource's version (required) [e2e-llm-inference-service] :param str namespace: The custom resource's namespace (required) [e2e-llm-inference-service] :param str plural: the custom resource's plural name. For TPRs this would be lowercase plural kind. (required) [e2e-llm-inference-service] :param str name: the custom object's name (required) [e2e-llm-inference-service] :param _return_http_data_only: response data without head status code [e2e-llm-inference-service] and headers [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] :return: tuple(object, status_code(int), headers(HTTPHeaderDict)) [e2e-llm-inference-service] If the method is called asynchronously, [e2e-llm-inference-service] returns the request thread. [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] local_var_params = locals() [e2e-llm-inference-service] [e2e-llm-inference-service] all_params = [ [e2e-llm-inference-service] 'group', [e2e-llm-inference-service] 'version', [e2e-llm-inference-service] 'namespace', [e2e-llm-inference-service] 'plural', [e2e-llm-inference-service] 'name' [e2e-llm-inference-service] ] [e2e-llm-inference-service] all_params.extend( [e2e-llm-inference-service] [ [e2e-llm-inference-service] 'async_req', [e2e-llm-inference-service] '_return_http_data_only', [e2e-llm-inference-service] '_preload_content', [e2e-llm-inference-service] '_request_timeout' [e2e-llm-inference-service] ] [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] for key, val in six.iteritems(local_var_params['kwargs']): [e2e-llm-inference-service] if key not in all_params: [e2e-llm-inference-service] raise ApiTypeError( [e2e-llm-inference-service] "Got an unexpected keyword argument '%s'" [e2e-llm-inference-service] " to method get_namespaced_custom_object" % key [e2e-llm-inference-service] ) [e2e-llm-inference-service] local_var_params[key] = val [e2e-llm-inference-service] del local_var_params['kwargs'] [e2e-llm-inference-service] # verify the required parameter 'group' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('group' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['group'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `group` when calling `get_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'version' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('version' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['version'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `version` when calling `get_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'namespace' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('namespace' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['namespace'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `namespace` when calling `get_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'plural' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('plural' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['plural'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `plural` when calling `get_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'name' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['name'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `name` when calling `get_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] collection_formats = {} [e2e-llm-inference-service] [e2e-llm-inference-service] path_params = {} [e2e-llm-inference-service] if 'group' in local_var_params: [e2e-llm-inference-service] path_params['group'] = local_var_params['group'] # noqa: E501 [e2e-llm-inference-service] if 'version' in local_var_params: [e2e-llm-inference-service] path_params['version'] = local_var_params['version'] # noqa: E501 [e2e-llm-inference-service] if 'namespace' in local_var_params: [e2e-llm-inference-service] path_params['namespace'] = local_var_params['namespace'] # noqa: E501 [e2e-llm-inference-service] if 'plural' in local_var_params: [e2e-llm-inference-service] path_params['plural'] = local_var_params['plural'] # noqa: E501 [e2e-llm-inference-service] if 'name' in local_var_params: [e2e-llm-inference-service] path_params['name'] = local_var_params['name'] # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] [e2e-llm-inference-service] header_params = {} [e2e-llm-inference-service] [e2e-llm-inference-service] form_params = [] [e2e-llm-inference-service] local_var_files = {} [e2e-llm-inference-service] [e2e-llm-inference-service] body_params = None [e2e-llm-inference-service] # HTTP header `Accept` [e2e-llm-inference-service] header_params['Accept'] = self.api_client.select_header_accept( [e2e-llm-inference-service] ['application/json']) # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] # Authentication setting [e2e-llm-inference-service] auth_settings = ['BearerToken'] # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] > return self.api_client.call_api( [e2e-llm-inference-service] '/apis/{group}/{version}/namespaces/{namespace}/{plural}/{name}', 'GET', [e2e-llm-inference-service] path_params, [e2e-llm-inference-service] query_params, [e2e-llm-inference-service] header_params, [e2e-llm-inference-service] body=body_params, [e2e-llm-inference-service] post_params=form_params, [e2e-llm-inference-service] files=local_var_files, [e2e-llm-inference-service] response_type='object', # noqa: E501 [e2e-llm-inference-service] auth_settings=auth_settings, [e2e-llm-inference-service] async_req=local_var_params.get('async_req'), [e2e-llm-inference-service] _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 [e2e-llm-inference-service] _preload_content=local_var_params.get('_preload_content', True), [e2e-llm-inference-service] _request_timeout=local_var_params.get('_request_timeout'), [e2e-llm-inference-service] collection_formats=collection_formats) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:1739: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] resource_path = '/apis/{group}/{version}/namespaces/{namespace}/{plural}/{name}' [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] path_params = {'group': 'serving.kserve.io', 'name': 'router-managed-rolling-upgrade-64e041bd', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceserviceconfigs', ...} [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] header_params = {'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] body = None, post_params = [], files = {}, response_type = 'object' [e2e-llm-inference-service] auth_settings = ['BearerToken'], async_req = None, _return_http_data_only = True [e2e-llm-inference-service] collection_formats = {}, _preload_content = True, _request_timeout = None [e2e-llm-inference-service] _host = None [e2e-llm-inference-service] [e2e-llm-inference-service] def call_api(self, resource_path, method, [e2e-llm-inference-service] path_params=None, query_params=None, header_params=None, [e2e-llm-inference-service] body=None, post_params=None, files=None, [e2e-llm-inference-service] response_type=None, auth_settings=None, async_req=None, [e2e-llm-inference-service] _return_http_data_only=None, collection_formats=None, [e2e-llm-inference-service] _preload_content=True, _request_timeout=None, _host=None): [e2e-llm-inference-service] """Makes the HTTP request (synchronous) and returns deserialized data. [e2e-llm-inference-service] [e2e-llm-inference-service] To make an async_req request, set the async_req parameter. [e2e-llm-inference-service] [e2e-llm-inference-service] :param resource_path: Path to method endpoint. [e2e-llm-inference-service] :param method: Method to call. [e2e-llm-inference-service] :param path_params: Path parameters in the url. [e2e-llm-inference-service] :param query_params: Query parameters in the url. [e2e-llm-inference-service] :param header_params: Header parameters to be [e2e-llm-inference-service] placed in the request header. [e2e-llm-inference-service] :param body: Request body. [e2e-llm-inference-service] :param post_params dict: Request post form parameters, [e2e-llm-inference-service] for `application/x-www-form-urlencoded`, `multipart/form-data`. [e2e-llm-inference-service] :param auth_settings list: Auth Settings names for the request. [e2e-llm-inference-service] :param response: Response data type. [e2e-llm-inference-service] :param files dict: key -> filename, value -> filepath, [e2e-llm-inference-service] for `multipart/form-data`. [e2e-llm-inference-service] :param async_req bool: execute request asynchronously [e2e-llm-inference-service] :param _return_http_data_only: response data without head status code [e2e-llm-inference-service] and headers [e2e-llm-inference-service] :param collection_formats: dict of collection formats for path, query, [e2e-llm-inference-service] header, and post parameters. [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] :return: [e2e-llm-inference-service] If async_req parameter is True, [e2e-llm-inference-service] the request will be called asynchronously. [e2e-llm-inference-service] The method will return the request thread. [e2e-llm-inference-service] If parameter async_req is False or missing, [e2e-llm-inference-service] then the method will return the response directly. [e2e-llm-inference-service] """ [e2e-llm-inference-service] if not async_req: [e2e-llm-inference-service] > return self.__call_api(resource_path, method, [e2e-llm-inference-service] path_params, query_params, header_params, [e2e-llm-inference-service] body, post_params, files, [e2e-llm-inference-service] response_type, auth_settings, [e2e-llm-inference-service] _return_http_data_only, collection_formats, [e2e-llm-inference-service] _preload_content, _request_timeout, _host) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:348: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] resource_path = '/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs/router-managed-rolling-upgrade-64e041bd' [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] path_params = [('group', 'serving.kserve.io'), ('version', 'v1alpha1'), ('namespace', 'kserve-ci-e2e-test'), ('plural', 'llminferenceserviceconfigs'), ('name', 'router-managed-rolling-upgrade-64e041bd')] [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] header_params = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] body = None, post_params = [], files = {}, response_type = 'object' [e2e-llm-inference-service] auth_settings = ['BearerToken'], _return_http_data_only = True [e2e-llm-inference-service] collection_formats = {}, _preload_content = True, _request_timeout = None [e2e-llm-inference-service] _host = None [e2e-llm-inference-service] [e2e-llm-inference-service] def __call_api( [e2e-llm-inference-service] self, resource_path, method, path_params=None, [e2e-llm-inference-service] query_params=None, header_params=None, body=None, post_params=None, [e2e-llm-inference-service] files=None, response_type=None, auth_settings=None, [e2e-llm-inference-service] _return_http_data_only=None, collection_formats=None, [e2e-llm-inference-service] _preload_content=True, _request_timeout=None, _host=None): [e2e-llm-inference-service] [e2e-llm-inference-service] config = self.configuration [e2e-llm-inference-service] [e2e-llm-inference-service] # header parameters [e2e-llm-inference-service] header_params = header_params or {} [e2e-llm-inference-service] header_params.update(self.default_headers) [e2e-llm-inference-service] if self.cookie: [e2e-llm-inference-service] header_params['Cookie'] = self.cookie [e2e-llm-inference-service] if header_params: [e2e-llm-inference-service] header_params = self.sanitize_for_serialization(header_params) [e2e-llm-inference-service] header_params = dict(self.parameters_to_tuples(header_params, [e2e-llm-inference-service] collection_formats)) [e2e-llm-inference-service] [e2e-llm-inference-service] # path parameters [e2e-llm-inference-service] if path_params: [e2e-llm-inference-service] path_params = self.sanitize_for_serialization(path_params) [e2e-llm-inference-service] path_params = self.parameters_to_tuples(path_params, [e2e-llm-inference-service] collection_formats) [e2e-llm-inference-service] for k, v in path_params: [e2e-llm-inference-service] # specified safe chars, encode everything [e2e-llm-inference-service] resource_path = resource_path.replace( [e2e-llm-inference-service] '{%s}' % k, [e2e-llm-inference-service] quote(str(v), safe=config.safe_chars_for_path_param) [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # query parameters [e2e-llm-inference-service] if query_params: [e2e-llm-inference-service] query_params = self.sanitize_for_serialization(query_params) [e2e-llm-inference-service] query_params = self.parameters_to_tuples(query_params, [e2e-llm-inference-service] collection_formats) [e2e-llm-inference-service] [e2e-llm-inference-service] # post parameters [e2e-llm-inference-service] if post_params or files: [e2e-llm-inference-service] post_params = post_params if post_params else [] [e2e-llm-inference-service] post_params = self.sanitize_for_serialization(post_params) [e2e-llm-inference-service] post_params = self.parameters_to_tuples(post_params, [e2e-llm-inference-service] collection_formats) [e2e-llm-inference-service] post_params.extend(self.files_parameters(files)) [e2e-llm-inference-service] [e2e-llm-inference-service] # auth setting [e2e-llm-inference-service] self.update_params_for_auth(header_params, query_params, auth_settings) [e2e-llm-inference-service] [e2e-llm-inference-service] # body [e2e-llm-inference-service] if body: [e2e-llm-inference-service] body = self.sanitize_for_serialization(body) [e2e-llm-inference-service] [e2e-llm-inference-service] # request url [e2e-llm-inference-service] if _host is None: [e2e-llm-inference-service] url = self.configuration.host + resource_path [e2e-llm-inference-service] else: [e2e-llm-inference-service] # use server/host defined in path or operation instead [e2e-llm-inference-service] url = _host + resource_path [e2e-llm-inference-service] [e2e-llm-inference-service] # perform request and return response [e2e-llm-inference-service] > response_data = self.request( [e2e-llm-inference-service] method, url, query_params=query_params, headers=header_params, [e2e-llm-inference-service] post_params=post_params, body=body, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:180: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] url = 'https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs/router-managed-rolling-upgrade-64e041bd' [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] post_params = [], body = None, _preload_content = True, _request_timeout = None [e2e-llm-inference-service] [e2e-llm-inference-service] def request(self, method, url, query_params=None, headers=None, [e2e-llm-inference-service] post_params=None, body=None, _preload_content=True, [e2e-llm-inference-service] _request_timeout=None): [e2e-llm-inference-service] """Makes the HTTP request using RESTClient.""" [e2e-llm-inference-service] if method == "GET": [e2e-llm-inference-service] > return self.rest_client.GET(url, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout, [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:373: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] url = 'https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs/router-managed-rolling-upgrade-64e041bd' [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] query_params = [], _preload_content = True, _request_timeout = None [e2e-llm-inference-service] [e2e-llm-inference-service] def GET(self, url, headers=None, query_params=None, _preload_content=True, [e2e-llm-inference-service] _request_timeout=None): [e2e-llm-inference-service] > return self.request("GET", url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout, [e2e-llm-inference-service] query_params=query_params) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:244: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] url = 'https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs/router-managed-rolling-upgrade-64e041bd' [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] body = None, post_params = {}, _preload_content = True, _request_timeout = None [e2e-llm-inference-service] [e2e-llm-inference-service] def request(self, method, url, query_params=None, headers=None, [e2e-llm-inference-service] body=None, post_params=None, _preload_content=True, [e2e-llm-inference-service] _request_timeout=None): [e2e-llm-inference-service] """Perform requests. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: http request method [e2e-llm-inference-service] :param url: http request url [e2e-llm-inference-service] :param query_params: query parameters in the url [e2e-llm-inference-service] :param headers: http request headers [e2e-llm-inference-service] :param body: request json body, for `application/json` [e2e-llm-inference-service] :param post_params: request post parameters, [e2e-llm-inference-service] `application/x-www-form-urlencoded` [e2e-llm-inference-service] and `multipart/form-data` [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] """ [e2e-llm-inference-service] method = method.upper() [e2e-llm-inference-service] assert method in ['GET', 'HEAD', 'DELETE', 'POST', 'PUT', [e2e-llm-inference-service] 'PATCH', 'OPTIONS'] [e2e-llm-inference-service] [e2e-llm-inference-service] if post_params and body: [e2e-llm-inference-service] raise ApiValueError( [e2e-llm-inference-service] "body parameter cannot be used with post_params parameter." [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] post_params = post_params or {} [e2e-llm-inference-service] headers = headers or {} [e2e-llm-inference-service] [e2e-llm-inference-service] timeout = None [e2e-llm-inference-service] if _request_timeout: [e2e-llm-inference-service] if isinstance(_request_timeout, (int, ) if six.PY3 else (int, long)): # noqa: E501,F821 [e2e-llm-inference-service] timeout = urllib3.Timeout(total=_request_timeout) [e2e-llm-inference-service] elif (isinstance(_request_timeout, tuple) and [e2e-llm-inference-service] len(_request_timeout) == 2): [e2e-llm-inference-service] timeout = urllib3.Timeout( [e2e-llm-inference-service] connect=_request_timeout[0], read=_request_timeout[1]) [e2e-llm-inference-service] [e2e-llm-inference-service] if 'Content-Type' not in headers: [e2e-llm-inference-service] headers['Content-Type'] = 'application/json' [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # For `POST`, `PUT`, `PATCH`, `OPTIONS`, `DELETE` [e2e-llm-inference-service] if method in ['POST', 'PUT', 'PATCH', 'OPTIONS', 'DELETE']: [e2e-llm-inference-service] if query_params: [e2e-llm-inference-service] url += '?' + urlencode(query_params) [e2e-llm-inference-service] if (re.search('json', headers['Content-Type'], re.IGNORECASE) or [e2e-llm-inference-service] headers['Content-Type'] == 'application/apply-patch+yaml'): [e2e-llm-inference-service] if headers['Content-Type'] == 'application/json-patch+json': [e2e-llm-inference-service] if not isinstance(body, list): [e2e-llm-inference-service] headers['Content-Type'] = \ [e2e-llm-inference-service] 'application/strategic-merge-patch+json' [e2e-llm-inference-service] request_body = None [e2e-llm-inference-service] if body is not None: [e2e-llm-inference-service] request_body = json.dumps(body) [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] body=request_body, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] elif headers['Content-Type'] == 'application/x-www-form-urlencoded': # noqa: E501 [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] fields=post_params, [e2e-llm-inference-service] encode_multipart=False, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] elif headers['Content-Type'] == 'multipart/form-data': [e2e-llm-inference-service] # must del headers['Content-Type'], or the correct [e2e-llm-inference-service] # Content-Type which generated by urllib3 will be [e2e-llm-inference-service] # overwritten. [e2e-llm-inference-service] del headers['Content-Type'] [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] fields=post_params, [e2e-llm-inference-service] encode_multipart=True, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] # Pass a `string` parameter directly in the body to support [e2e-llm-inference-service] # other content types than Json when `body` argument is [e2e-llm-inference-service] # provided in serialized form [e2e-llm-inference-service] elif isinstance(body, str) or isinstance(body, bytes): [e2e-llm-inference-service] request_body = body [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] body=request_body, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] else: [e2e-llm-inference-service] # Cannot generate the request from given parameters [e2e-llm-inference-service] msg = """Cannot prepare a request message for provided [e2e-llm-inference-service] arguments. Please check that your arguments match [e2e-llm-inference-service] declared content type.""" [e2e-llm-inference-service] raise ApiException(status=0, reason=msg) [e2e-llm-inference-service] # For `GET`, `HEAD` [e2e-llm-inference-service] else: [e2e-llm-inference-service] r = self.pool_manager.request(method, url, [e2e-llm-inference-service] fields=query_params, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] except urllib3.exceptions.SSLError as e: [e2e-llm-inference-service] msg = "{0}\n{1}".format(type(e).__name__, str(e)) [e2e-llm-inference-service] raise ApiException(status=0, reason=msg) [e2e-llm-inference-service] [e2e-llm-inference-service] if _preload_content: [e2e-llm-inference-service] r = RESTResponse(r) [e2e-llm-inference-service] [e2e-llm-inference-service] # In the python 3, the response.data is bytes. [e2e-llm-inference-service] # we need to decode it to string. [e2e-llm-inference-service] if six.PY3: [e2e-llm-inference-service] r.data = r.data.decode('utf8') [e2e-llm-inference-service] [e2e-llm-inference-service] # log response body [e2e-llm-inference-service] logger.debug("response body: %s", r.data) [e2e-llm-inference-service] [e2e-llm-inference-service] if not 200 <= r.status <= 299: [e2e-llm-inference-service] > raise ApiException(http_resp=r) [e2e-llm-inference-service] E kubernetes.client.exceptions.ApiException: (404) [e2e-llm-inference-service] E Reason: Not Found [e2e-llm-inference-service] E HTTP response headers: HTTPHeaderDict({'Audit-Id': '6c80fc16-04c3-408a-8276-c22a0c8d46ac', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': 'c30fff65-8b8a-47f0-8303-5f205881ee46', 'X-Kubernetes-Pf-Prioritylevel-Uid': '1d0f3173-41ee-4f4d-bdbf-9bfbca43ee13', 'Date': 'Mon, 13 Jul 2026 22:11:24 GMT', 'Content-Length': '336'}) [e2e-llm-inference-service] E HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"llminferenceserviceconfigs.serving.kserve.io \"router-managed-rolling-upgrade-64e041bd\" not found","reason":"NotFound","details":{"name":"router-managed-rolling-upgrade-64e041bd","group":"serving.kserve.io","kind":"llminferenceserviceconfigs"},"code":404} [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:238: ApiException [e2e-llm-inference-service] [e2e-llm-inference-service] During handling of the above exception, another exception occurred: [e2e-llm-inference-service] [e2e-llm-inference-service] request = > [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.fixture(autouse=True) [e2e-llm-inference-service] def ensure_gateway_proxy_memory(request): [e2e-llm-inference-service] """After test setup creates gateways, patch them for proxy memory.""" [e2e-llm-inference-service] if not GATEWAY_PROXY_MEMORY: [e2e-llm-inference-service] return [e2e-llm-inference-service] [e2e-llm-inference-service] # Let test_case (llmisvc) create gateways first [e2e-llm-inference-service] [e2e-llm-inference-service] if "test_case" in request.fixturenames: [e2e-llm-inference-service] > request.getfixturevalue("test_case") [e2e-llm-inference-service] [e2e-llm-inference-service] common/gateway_proxy_istio.py:183: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] request = > [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.fixture(scope="function") [e2e-llm-inference-service] def test_case(request): [e2e-llm-inference-service] tc = request.param [e2e-llm-inference-service] [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Execute before test hooks [e2e-llm-inference-service] try: [e2e-llm-inference-service] for func in tc.before_test: [e2e-llm-inference-service] func() [e2e-llm-inference-service] except Exception as before_test_error: [e2e-llm-inference-service] raise RuntimeError( [e2e-llm-inference-service] f"Failed to execute before test hook: {before_test_error}" [e2e-llm-inference-service] ) from before_test_error [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > _setup_test_case_service(kserve_client, tc, request.node.name) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/fixtures.py:1476: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] tc = TestCase(base_refs=['router-managed', 'workload-llmd-simulator', 'model-fb-opt-125m'], prompt='KServe is a', service_n...None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service=None, model_name='facebook/opt-125m') [e2e-llm-inference-service] test_node_name = 'test_rolling_upgrade_coordination[router-managed-workload-llmd-simulator-model-fb-opt-125m]' [e2e-llm-inference-service] peer_index = None [e2e-llm-inference-service] [e2e-llm-inference-service] def _setup_test_case_service(kserve_client, tc, test_node_name, peer_index=None): [e2e-llm-inference-service] """Create LLMInferenceServiceConfigs and build the LLMInferenceService for a TestCase. [e2e-llm-inference-service] [e2e-llm-inference-service] Returns a list of created config names for cleanup tracking. [e2e-llm-inference-service] """ [e2e-llm-inference-service] missing_refs = [ [e2e-llm-inference-service] ref for ref in tc.base_refs if ref not in LLMINFERENCESERVICE_CONFIGS [e2e-llm-inference-service] ] [e2e-llm-inference-service] if missing_refs: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Missing base_refs in LLMINFERENCESERVICE_CONFIGS: {missing_refs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] if not tc.service_name: [e2e-llm-inference-service] suffix = f"-peer-{peer_index}" if peer_index is not None else "" [e2e-llm-inference-service] tc.service_name = generate_service_name(test_node_name + suffix, tc.base_refs) [e2e-llm-inference-service] if tc.model_name == "default/model": [e2e-llm-inference-service] tc.model_name = _get_model_name_from_configs(tc.base_refs) [e2e-llm-inference-service] [e2e-llm-inference-service] created_configs = [] [e2e-llm-inference-service] unique_base_refs = [] [e2e-llm-inference-service] for base_ref in tc.base_refs: [e2e-llm-inference-service] unique_config_name = generate_k8s_safe_suffix(base_ref, [tc.service_name]) [e2e-llm-inference-service] unique_base_refs.append(unique_config_name) [e2e-llm-inference-service] [e2e-llm-inference-service] unique_config_body = { [e2e-llm-inference-service] "apiVersion": "serving.kserve.io/v1alpha1", [e2e-llm-inference-service] "kind": "LLMInferenceServiceConfig", [e2e-llm-inference-service] "metadata": { [e2e-llm-inference-service] "name": unique_config_name, [e2e-llm-inference-service] "namespace": KSERVE_TEST_NAMESPACE, [e2e-llm-inference-service] }, [e2e-llm-inference-service] "spec": LLMINFERENCESERVICE_CONFIGS[base_ref], [e2e-llm-inference-service] } [e2e-llm-inference-service] [e2e-llm-inference-service] > _create_or_update_llmisvc_config( [e2e-llm-inference-service] kserve_client, unique_config_body, KSERVE_TEST_NAMESPACE [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/fixtures.py:1436: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] llm_config = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...grade-64e041bd', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}} [e2e-llm-inference-service] namespace = 'kserve-ci-e2e-test' [e2e-llm-inference-service] [e2e-llm-inference-service] def _create_or_update_llmisvc_config(kserve_client, llm_config, namespace=None): [e2e-llm-inference-service] """Create or update an LLMInferenceServiceConfig resource.""" [e2e-llm-inference-service] version = llm_config["apiVersion"].split("/")[1] [e2e-llm-inference-service] [e2e-llm-inference-service] if namespace is None: [e2e-llm-inference-service] namespace = llm_config.get("metadata", {}).get("namespace", "default") [e2e-llm-inference-service] [e2e-llm-inference-service] name = llm_config.get("metadata", {}).get("name") [e2e-llm-inference-service] if not name: [e2e-llm-inference-service] raise ValueError("LLMInferenceServiceConfig must have a name in metadata") [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Checking LLMInferenceServiceConfig {name} in namespace {namespace}") [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] existing_config = kserve_client.api_instance.get_namespaced_custom_object( [e2e-llm-inference-service] constants.KSERVE_GROUP, [e2e-llm-inference-service] version, [e2e-llm-inference-service] namespace, [e2e-llm-inference-service] KSERVE_PLURAL_LLMINFERENCESERVICECONFIG, [e2e-llm-inference-service] name, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llm_config["metadata"] = existing_config["metadata"] [e2e-llm-inference-service] [e2e-llm-inference-service] outputs = kserve_client.api_instance.replace_namespaced_custom_object( [e2e-llm-inference-service] constants.KSERVE_GROUP, [e2e-llm-inference-service] version, [e2e-llm-inference-service] namespace, [e2e-llm-inference-service] KSERVE_PLURAL_LLMINFERENCESERVICECONFIG, [e2e-llm-inference-service] name, [e2e-llm-inference-service] llm_config, [e2e-llm-inference-service] ) [e2e-llm-inference-service] logger.info(f"✓ Successfully updated LLMInferenceServiceConfig {name}") [e2e-llm-inference-service] return outputs [e2e-llm-inference-service] [e2e-llm-inference-service] except client.rest.ApiException as e: [e2e-llm-inference-service] if e.status == 404: # Not found - create it [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"Resource not found, creating LLMInferenceServiceConfig {name}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] > outputs = kserve_client.api_instance.create_namespaced_custom_object( [e2e-llm-inference-service] constants.KSERVE_GROUP, [e2e-llm-inference-service] version, [e2e-llm-inference-service] namespace, [e2e-llm-inference-service] KSERVE_PLURAL_LLMINFERENCESERVICECONFIG, [e2e-llm-inference-service] llm_config, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/fixtures.py:1615: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] group = 'serving.kserve.io', version = 'v1alpha1' [e2e-llm-inference-service] namespace = 'kserve-ci-e2e-test', plural = 'llminferenceserviceconfigs' [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...grade-64e041bd', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}} [e2e-llm-inference-service] kwargs = {'_return_http_data_only': True} [e2e-llm-inference-service] [e2e-llm-inference-service] def create_namespaced_custom_object(self, group, version, namespace, plural, body, **kwargs): # noqa: E501 [e2e-llm-inference-service] """create_namespaced_custom_object # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] Creates a namespace scoped Custom object # noqa: E501 [e2e-llm-inference-service] This method makes a synchronous HTTP request by default. To make an [e2e-llm-inference-service] asynchronous HTTP request, please pass async_req=True [e2e-llm-inference-service] >>> thread = api.create_namespaced_custom_object(group, version, namespace, plural, body, async_req=True) [e2e-llm-inference-service] >>> result = thread.get() [e2e-llm-inference-service] [e2e-llm-inference-service] :param async_req bool: execute request asynchronously [e2e-llm-inference-service] :param str group: The custom resource's group name (required) [e2e-llm-inference-service] :param str version: The custom resource's version (required) [e2e-llm-inference-service] :param str namespace: The custom resource's namespace (required) [e2e-llm-inference-service] :param str plural: The custom resource's plural name. For TPRs this would be lowercase plural kind. (required) [e2e-llm-inference-service] :param object body: The JSON schema of the Resource to create. (required) [e2e-llm-inference-service] :param str pretty: If 'true', then the output is pretty printed. [e2e-llm-inference-service] :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed [e2e-llm-inference-service] :param str field_manager: fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint. [e2e-llm-inference-service] :param str field_validation: fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default in v1.23+ - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. (optional) [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] :return: object [e2e-llm-inference-service] If the method is called asynchronously, [e2e-llm-inference-service] returns the request thread. [e2e-llm-inference-service] """ [e2e-llm-inference-service] kwargs['_return_http_data_only'] = True [e2e-llm-inference-service] > return self.create_namespaced_custom_object_with_http_info(group, version, namespace, plural, body, **kwargs) # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:231: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] group = 'serving.kserve.io', version = 'v1alpha1' [e2e-llm-inference-service] namespace = 'kserve-ci-e2e-test', plural = 'llminferenceserviceconfigs' [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...grade-64e041bd', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}} [e2e-llm-inference-service] kwargs = {'_return_http_data_only': True} [e2e-llm-inference-service] local_var_params = {'_return_http_data_only': True, 'all_params': ['group', 'version', 'namespace', 'plural', 'body', 'pretty', ...], 'au...64e041bd', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}}, ...} [e2e-llm-inference-service] all_params = ['group', 'version', 'namespace', 'plural', 'body', 'pretty', ...] [e2e-llm-inference-service] key = '_return_http_data_only', val = True, collection_formats = {} [e2e-llm-inference-service] path_params = {'group': 'serving.kserve.io', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceserviceconfigs', 'version': 'v1alpha1'} [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] [e2e-llm-inference-service] def create_namespaced_custom_object_with_http_info(self, group, version, namespace, plural, body, **kwargs): # noqa: E501 [e2e-llm-inference-service] """create_namespaced_custom_object # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] Creates a namespace scoped Custom object # noqa: E501 [e2e-llm-inference-service] This method makes a synchronous HTTP request by default. To make an [e2e-llm-inference-service] asynchronous HTTP request, please pass async_req=True [e2e-llm-inference-service] >>> thread = api.create_namespaced_custom_object_with_http_info(group, version, namespace, plural, body, async_req=True) [e2e-llm-inference-service] >>> result = thread.get() [e2e-llm-inference-service] [e2e-llm-inference-service] :param async_req bool: execute request asynchronously [e2e-llm-inference-service] :param str group: The custom resource's group name (required) [e2e-llm-inference-service] :param str version: The custom resource's version (required) [e2e-llm-inference-service] :param str namespace: The custom resource's namespace (required) [e2e-llm-inference-service] :param str plural: The custom resource's plural name. For TPRs this would be lowercase plural kind. (required) [e2e-llm-inference-service] :param object body: The JSON schema of the Resource to create. (required) [e2e-llm-inference-service] :param str pretty: If 'true', then the output is pretty printed. [e2e-llm-inference-service] :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed [e2e-llm-inference-service] :param str field_manager: fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint. [e2e-llm-inference-service] :param str field_validation: fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default in v1.23+ - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. (optional) [e2e-llm-inference-service] :param _return_http_data_only: response data without head status code [e2e-llm-inference-service] and headers [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] :return: tuple(object, status_code(int), headers(HTTPHeaderDict)) [e2e-llm-inference-service] If the method is called asynchronously, [e2e-llm-inference-service] returns the request thread. [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] local_var_params = locals() [e2e-llm-inference-service] [e2e-llm-inference-service] all_params = [ [e2e-llm-inference-service] 'group', [e2e-llm-inference-service] 'version', [e2e-llm-inference-service] 'namespace', [e2e-llm-inference-service] 'plural', [e2e-llm-inference-service] 'body', [e2e-llm-inference-service] 'pretty', [e2e-llm-inference-service] 'dry_run', [e2e-llm-inference-service] 'field_manager', [e2e-llm-inference-service] 'field_validation' [e2e-llm-inference-service] ] [e2e-llm-inference-service] all_params.extend( [e2e-llm-inference-service] [ [e2e-llm-inference-service] 'async_req', [e2e-llm-inference-service] '_return_http_data_only', [e2e-llm-inference-service] '_preload_content', [e2e-llm-inference-service] '_request_timeout' [e2e-llm-inference-service] ] [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] for key, val in six.iteritems(local_var_params['kwargs']): [e2e-llm-inference-service] if key not in all_params: [e2e-llm-inference-service] raise ApiTypeError( [e2e-llm-inference-service] "Got an unexpected keyword argument '%s'" [e2e-llm-inference-service] " to method create_namespaced_custom_object" % key [e2e-llm-inference-service] ) [e2e-llm-inference-service] local_var_params[key] = val [e2e-llm-inference-service] del local_var_params['kwargs'] [e2e-llm-inference-service] # verify the required parameter 'group' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('group' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['group'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `group` when calling `create_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'version' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('version' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['version'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `version` when calling `create_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'namespace' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('namespace' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['namespace'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `namespace` when calling `create_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'plural' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('plural' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['plural'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `plural` when calling `create_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'body' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['body'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `body` when calling `create_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] collection_formats = {} [e2e-llm-inference-service] [e2e-llm-inference-service] path_params = {} [e2e-llm-inference-service] if 'group' in local_var_params: [e2e-llm-inference-service] path_params['group'] = local_var_params['group'] # noqa: E501 [e2e-llm-inference-service] if 'version' in local_var_params: [e2e-llm-inference-service] path_params['version'] = local_var_params['version'] # noqa: E501 [e2e-llm-inference-service] if 'namespace' in local_var_params: [e2e-llm-inference-service] path_params['namespace'] = local_var_params['namespace'] # noqa: E501 [e2e-llm-inference-service] if 'plural' in local_var_params: [e2e-llm-inference-service] path_params['plural'] = local_var_params['plural'] # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] if 'pretty' in local_var_params and local_var_params['pretty'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('pretty', local_var_params['pretty'])) # noqa: E501 [e2e-llm-inference-service] if 'dry_run' in local_var_params and local_var_params['dry_run'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('dryRun', local_var_params['dry_run'])) # noqa: E501 [e2e-llm-inference-service] if 'field_manager' in local_var_params and local_var_params['field_manager'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('fieldManager', local_var_params['field_manager'])) # noqa: E501 [e2e-llm-inference-service] if 'field_validation' in local_var_params and local_var_params['field_validation'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('fieldValidation', local_var_params['field_validation'])) # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] header_params = {} [e2e-llm-inference-service] [e2e-llm-inference-service] form_params = [] [e2e-llm-inference-service] local_var_files = {} [e2e-llm-inference-service] [e2e-llm-inference-service] body_params = None [e2e-llm-inference-service] if 'body' in local_var_params: [e2e-llm-inference-service] body_params = local_var_params['body'] [e2e-llm-inference-service] # HTTP header `Accept` [e2e-llm-inference-service] header_params['Accept'] = self.api_client.select_header_accept( [e2e-llm-inference-service] ['application/json']) # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] # Authentication setting [e2e-llm-inference-service] auth_settings = ['BearerToken'] # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] > return self.api_client.call_api( [e2e-llm-inference-service] '/apis/{group}/{version}/namespaces/{namespace}/{plural}', 'POST', [e2e-llm-inference-service] path_params, [e2e-llm-inference-service] query_params, [e2e-llm-inference-service] header_params, [e2e-llm-inference-service] body=body_params, [e2e-llm-inference-service] post_params=form_params, [e2e-llm-inference-service] files=local_var_files, [e2e-llm-inference-service] response_type='object', # noqa: E501 [e2e-llm-inference-service] auth_settings=auth_settings, [e2e-llm-inference-service] async_req=local_var_params.get('async_req'), [e2e-llm-inference-service] _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 [e2e-llm-inference-service] _preload_content=local_var_params.get('_preload_content', True), [e2e-llm-inference-service] _request_timeout=local_var_params.get('_request_timeout'), [e2e-llm-inference-service] collection_formats=collection_formats) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:354: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] resource_path = '/apis/{group}/{version}/namespaces/{namespace}/{plural}' [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] path_params = {'group': 'serving.kserve.io', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceserviceconfigs', 'version': 'v1alpha1'} [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] header_params = {'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...grade-64e041bd', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}} [e2e-llm-inference-service] post_params = [], files = {}, response_type = 'object' [e2e-llm-inference-service] auth_settings = ['BearerToken'], async_req = None, _return_http_data_only = True [e2e-llm-inference-service] collection_formats = {}, _preload_content = True, _request_timeout = None [e2e-llm-inference-service] _host = None [e2e-llm-inference-service] [e2e-llm-inference-service] def call_api(self, resource_path, method, [e2e-llm-inference-service] path_params=None, query_params=None, header_params=None, [e2e-llm-inference-service] body=None, post_params=None, files=None, [e2e-llm-inference-service] response_type=None, auth_settings=None, async_req=None, [e2e-llm-inference-service] _return_http_data_only=None, collection_formats=None, [e2e-llm-inference-service] _preload_content=True, _request_timeout=None, _host=None): [e2e-llm-inference-service] """Makes the HTTP request (synchronous) and returns deserialized data. [e2e-llm-inference-service] [e2e-llm-inference-service] To make an async_req request, set the async_req parameter. [e2e-llm-inference-service] [e2e-llm-inference-service] :param resource_path: Path to method endpoint. [e2e-llm-inference-service] :param method: Method to call. [e2e-llm-inference-service] :param path_params: Path parameters in the url. [e2e-llm-inference-service] :param query_params: Query parameters in the url. [e2e-llm-inference-service] :param header_params: Header parameters to be [e2e-llm-inference-service] placed in the request header. [e2e-llm-inference-service] :param body: Request body. [e2e-llm-inference-service] :param post_params dict: Request post form parameters, [e2e-llm-inference-service] for `application/x-www-form-urlencoded`, `multipart/form-data`. [e2e-llm-inference-service] :param auth_settings list: Auth Settings names for the request. [e2e-llm-inference-service] :param response: Response data type. [e2e-llm-inference-service] :param files dict: key -> filename, value -> filepath, [e2e-llm-inference-service] for `multipart/form-data`. [e2e-llm-inference-service] :param async_req bool: execute request asynchronously [e2e-llm-inference-service] :param _return_http_data_only: response data without head status code [e2e-llm-inference-service] and headers [e2e-llm-inference-service] :param collection_formats: dict of collection formats for path, query, [e2e-llm-inference-service] header, and post parameters. [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] :return: [e2e-llm-inference-service] If async_req parameter is True, [e2e-llm-inference-service] the request will be called asynchronously. [e2e-llm-inference-service] The method will return the request thread. [e2e-llm-inference-service] If parameter async_req is False or missing, [e2e-llm-inference-service] then the method will return the response directly. [e2e-llm-inference-service] """ [e2e-llm-inference-service] if not async_req: [e2e-llm-inference-service] > return self.__call_api(resource_path, method, [e2e-llm-inference-service] path_params, query_params, header_params, [e2e-llm-inference-service] body, post_params, files, [e2e-llm-inference-service] response_type, auth_settings, [e2e-llm-inference-service] _return_http_data_only, collection_formats, [e2e-llm-inference-service] _preload_content, _request_timeout, _host) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:348: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] resource_path = '/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs' [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] path_params = [('group', 'serving.kserve.io'), ('version', 'v1alpha1'), ('namespace', 'kserve-ci-e2e-test'), ('plural', 'llminferenceserviceconfigs')] [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] header_params = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...grade-64e041bd', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}} [e2e-llm-inference-service] post_params = [], files = {}, response_type = 'object' [e2e-llm-inference-service] auth_settings = ['BearerToken'], _return_http_data_only = True [e2e-llm-inference-service] collection_formats = {}, _preload_content = True, _request_timeout = None [e2e-llm-inference-service] _host = None [e2e-llm-inference-service] [e2e-llm-inference-service] def __call_api( [e2e-llm-inference-service] self, resource_path, method, path_params=None, [e2e-llm-inference-service] query_params=None, header_params=None, body=None, post_params=None, [e2e-llm-inference-service] files=None, response_type=None, auth_settings=None, [e2e-llm-inference-service] _return_http_data_only=None, collection_formats=None, [e2e-llm-inference-service] _preload_content=True, _request_timeout=None, _host=None): [e2e-llm-inference-service] [e2e-llm-inference-service] config = self.configuration [e2e-llm-inference-service] [e2e-llm-inference-service] # header parameters [e2e-llm-inference-service] header_params = header_params or {} [e2e-llm-inference-service] header_params.update(self.default_headers) [e2e-llm-inference-service] if self.cookie: [e2e-llm-inference-service] header_params['Cookie'] = self.cookie [e2e-llm-inference-service] if header_params: [e2e-llm-inference-service] header_params = self.sanitize_for_serialization(header_params) [e2e-llm-inference-service] header_params = dict(self.parameters_to_tuples(header_params, [e2e-llm-inference-service] collection_formats)) [e2e-llm-inference-service] [e2e-llm-inference-service] # path parameters [e2e-llm-inference-service] if path_params: [e2e-llm-inference-service] path_params = self.sanitize_for_serialization(path_params) [e2e-llm-inference-service] path_params = self.parameters_to_tuples(path_params, [e2e-llm-inference-service] collection_formats) [e2e-llm-inference-service] for k, v in path_params: [e2e-llm-inference-service] # specified safe chars, encode everything [e2e-llm-inference-service] resource_path = resource_path.replace( [e2e-llm-inference-service] '{%s}' % k, [e2e-llm-inference-service] quote(str(v), safe=config.safe_chars_for_path_param) [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # query parameters [e2e-llm-inference-service] if query_params: [e2e-llm-inference-service] query_params = self.sanitize_for_serialization(query_params) [e2e-llm-inference-service] query_params = self.parameters_to_tuples(query_params, [e2e-llm-inference-service] collection_formats) [e2e-llm-inference-service] [e2e-llm-inference-service] # post parameters [e2e-llm-inference-service] if post_params or files: [e2e-llm-inference-service] post_params = post_params if post_params else [] [e2e-llm-inference-service] post_params = self.sanitize_for_serialization(post_params) [e2e-llm-inference-service] post_params = self.parameters_to_tuples(post_params, [e2e-llm-inference-service] collection_formats) [e2e-llm-inference-service] post_params.extend(self.files_parameters(files)) [e2e-llm-inference-service] [e2e-llm-inference-service] # auth setting [e2e-llm-inference-service] self.update_params_for_auth(header_params, query_params, auth_settings) [e2e-llm-inference-service] [e2e-llm-inference-service] # body [e2e-llm-inference-service] if body: [e2e-llm-inference-service] body = self.sanitize_for_serialization(body) [e2e-llm-inference-service] [e2e-llm-inference-service] # request url [e2e-llm-inference-service] if _host is None: [e2e-llm-inference-service] url = self.configuration.host + resource_path [e2e-llm-inference-service] else: [e2e-llm-inference-service] # use server/host defined in path or operation instead [e2e-llm-inference-service] url = _host + resource_path [e2e-llm-inference-service] [e2e-llm-inference-service] # perform request and return response [e2e-llm-inference-service] > response_data = self.request( [e2e-llm-inference-service] method, url, query_params=query_params, headers=header_params, [e2e-llm-inference-service] post_params=post_params, body=body, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:180: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = 'https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs' [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] post_params = [] [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...grade-64e041bd', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}} [e2e-llm-inference-service] _preload_content = True, _request_timeout = None [e2e-llm-inference-service] [e2e-llm-inference-service] def request(self, method, url, query_params=None, headers=None, [e2e-llm-inference-service] post_params=None, body=None, _preload_content=True, [e2e-llm-inference-service] _request_timeout=None): [e2e-llm-inference-service] """Makes the HTTP request using RESTClient.""" [e2e-llm-inference-service] if method == "GET": [e2e-llm-inference-service] return self.rest_client.GET(url, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] elif method == "HEAD": [e2e-llm-inference-service] return self.rest_client.HEAD(url, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] elif method == "OPTIONS": [e2e-llm-inference-service] return self.rest_client.OPTIONS(url, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout) [e2e-llm-inference-service] elif method == "POST": [e2e-llm-inference-service] > return self.rest_client.POST(url, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] post_params=post_params, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout, [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:391: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] url = 'https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs' [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] query_params = [], post_params = [] [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...grade-64e041bd', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}} [e2e-llm-inference-service] _preload_content = True, _request_timeout = None [e2e-llm-inference-service] [e2e-llm-inference-service] def POST(self, url, headers=None, query_params=None, post_params=None, [e2e-llm-inference-service] body=None, _preload_content=True, _request_timeout=None): [e2e-llm-inference-service] > return self.request("POST", url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] post_params=post_params, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout, [e2e-llm-inference-service] body=body) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:279: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = 'https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs' [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'router-managed...grade-64e041bd', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'router': {'gateway': {}, 'route': {}, 'scheduler': {}}}} [e2e-llm-inference-service] post_params = {}, _preload_content = True, _request_timeout = None [e2e-llm-inference-service] [e2e-llm-inference-service] def request(self, method, url, query_params=None, headers=None, [e2e-llm-inference-service] body=None, post_params=None, _preload_content=True, [e2e-llm-inference-service] _request_timeout=None): [e2e-llm-inference-service] """Perform requests. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: http request method [e2e-llm-inference-service] :param url: http request url [e2e-llm-inference-service] :param query_params: query parameters in the url [e2e-llm-inference-service] :param headers: http request headers [e2e-llm-inference-service] :param body: request json body, for `application/json` [e2e-llm-inference-service] :param post_params: request post parameters, [e2e-llm-inference-service] `application/x-www-form-urlencoded` [e2e-llm-inference-service] and `multipart/form-data` [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] """ [e2e-llm-inference-service] method = method.upper() [e2e-llm-inference-service] assert method in ['GET', 'HEAD', 'DELETE', 'POST', 'PUT', [e2e-llm-inference-service] 'PATCH', 'OPTIONS'] [e2e-llm-inference-service] [e2e-llm-inference-service] if post_params and body: [e2e-llm-inference-service] raise ApiValueError( [e2e-llm-inference-service] "body parameter cannot be used with post_params parameter." [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] post_params = post_params or {} [e2e-llm-inference-service] headers = headers or {} [e2e-llm-inference-service] [e2e-llm-inference-service] timeout = None [e2e-llm-inference-service] if _request_timeout: [e2e-llm-inference-service] if isinstance(_request_timeout, (int, ) if six.PY3 else (int, long)): # noqa: E501,F821 [e2e-llm-inference-service] timeout = urllib3.Timeout(total=_request_timeout) [e2e-llm-inference-service] elif (isinstance(_request_timeout, tuple) and [e2e-llm-inference-service] len(_request_timeout) == 2): [e2e-llm-inference-service] timeout = urllib3.Timeout( [e2e-llm-inference-service] connect=_request_timeout[0], read=_request_timeout[1]) [e2e-llm-inference-service] [e2e-llm-inference-service] if 'Content-Type' not in headers: [e2e-llm-inference-service] headers['Content-Type'] = 'application/json' [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # For `POST`, `PUT`, `PATCH`, `OPTIONS`, `DELETE` [e2e-llm-inference-service] if method in ['POST', 'PUT', 'PATCH', 'OPTIONS', 'DELETE']: [e2e-llm-inference-service] if query_params: [e2e-llm-inference-service] url += '?' + urlencode(query_params) [e2e-llm-inference-service] if (re.search('json', headers['Content-Type'], re.IGNORECASE) or [e2e-llm-inference-service] headers['Content-Type'] == 'application/apply-patch+yaml'): [e2e-llm-inference-service] if headers['Content-Type'] == 'application/json-patch+json': [e2e-llm-inference-service] if not isinstance(body, list): [e2e-llm-inference-service] headers['Content-Type'] = \ [e2e-llm-inference-service] 'application/strategic-merge-patch+json' [e2e-llm-inference-service] request_body = None [e2e-llm-inference-service] if body is not None: [e2e-llm-inference-service] request_body = json.dumps(body) [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] body=request_body, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] elif headers['Content-Type'] == 'application/x-www-form-urlencoded': # noqa: E501 [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] fields=post_params, [e2e-llm-inference-service] encode_multipart=False, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] elif headers['Content-Type'] == 'multipart/form-data': [e2e-llm-inference-service] # must del headers['Content-Type'], or the correct [e2e-llm-inference-service] # Content-Type which generated by urllib3 will be [e2e-llm-inference-service] # overwritten. [e2e-llm-inference-service] del headers['Content-Type'] [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] fields=post_params, [e2e-llm-inference-service] encode_multipart=True, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] # Pass a `string` parameter directly in the body to support [e2e-llm-inference-service] # other content types than Json when `body` argument is [e2e-llm-inference-service] # provided in serialized form [e2e-llm-inference-service] elif isinstance(body, str) or isinstance(body, bytes): [e2e-llm-inference-service] request_body = body [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] body=request_body, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] else: [e2e-llm-inference-service] # Cannot generate the request from given parameters [e2e-llm-inference-service] msg = """Cannot prepare a request message for provided [e2e-llm-inference-service] arguments. Please check that your arguments match [e2e-llm-inference-service] declared content type.""" [e2e-llm-inference-service] raise ApiException(status=0, reason=msg) [e2e-llm-inference-service] # For `GET`, `HEAD` [e2e-llm-inference-service] else: [e2e-llm-inference-service] r = self.pool_manager.request(method, url, [e2e-llm-inference-service] fields=query_params, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] except urllib3.exceptions.SSLError as e: [e2e-llm-inference-service] msg = "{0}\n{1}".format(type(e).__name__, str(e)) [e2e-llm-inference-service] raise ApiException(status=0, reason=msg) [e2e-llm-inference-service] [e2e-llm-inference-service] if _preload_content: [e2e-llm-inference-service] r = RESTResponse(r) [e2e-llm-inference-service] [e2e-llm-inference-service] # In the python 3, the response.data is bytes. [e2e-llm-inference-service] # we need to decode it to string. [e2e-llm-inference-service] if six.PY3: [e2e-llm-inference-service] r.data = r.data.decode('utf8') [e2e-llm-inference-service] [e2e-llm-inference-service] # log response body [e2e-llm-inference-service] logger.debug("response body: %s", r.data) [e2e-llm-inference-service] [e2e-llm-inference-service] if not 200 <= r.status <= 299: [e2e-llm-inference-service] > raise ApiException(http_resp=r) [e2e-llm-inference-service] E kubernetes.client.exceptions.ApiException: (500) [e2e-llm-inference-service] E Reason: Internal Server Error [e2e-llm-inference-service] E HTTP response headers: HTTPHeaderDict({'Audit-Id': '190f2227-5483-4ba6-8b9f-ee7976c421ca', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': 'c30fff65-8b8a-47f0-8303-5f205881ee46', 'X-Kubernetes-Pf-Prioritylevel-Uid': '1d0f3173-41ee-4f4d-bdbf-9bfbca43ee13', 'Date': 'Mon, 13 Jul 2026 22:11:24 GMT', 'Content-Length': '833'}) [e2e-llm-inference-service] E HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"Internal error occurred: failed calling webhook \"llminferenceserviceconfig.kserve-webhook-server.v1alpha1.validator\": failed to call webhook: Post \"https://llmisvc-webhook-server-service.kserve.svc:443/validate-serving-kserve-io-v1alpha1-llminferenceserviceconfig?timeout=10s\": no endpoints available for service \"llmisvc-webhook-server-service\"","reason":"InternalError","details":{"causes":[{"message":"failed calling webhook \"llminferenceserviceconfig.kserve-webhook-server.v1alpha1.validator\": failed to call webhook: Post \"https://llmisvc-webhook-server-service.kserve.svc:443/validate-serving-kserve-io-v1alpha1-llminferenceserviceconfig?timeout=10s\": no endpoints available for service \"llmisvc-webhook-server-service\""}]},"code":500} [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:238: ApiException [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-rolling-upgrade-64e041bd in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-rolling-upgrade-64e041bd [e2e-llm-inference-service] =================================== FAILURES =================================== [e2e-llm-inference-service] __________ test_llm_auth_enabled_requires_token[auth-enabled-default] __________ [e2e-llm-inference-service] [gw0] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KServe is a', service_name=... {'name': 'model-fb-opt-125m-auth-enabled-89f54b63'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.auth [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="auth-enabled-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] ], [e2e-llm-inference-service] id="auth-enabled-default", [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_auth_enabled_requires_token(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] """ [e2e-llm-inference-service] Test that when auth is enabled (default): [e2e-llm-inference-service] - Requests WITH valid token succeed [e2e-llm-inference-service] - Requests WITHOUT token are rejected (401/403) [e2e-llm-inference-service] """ [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] sa_name = f"{service_name}-test-sa" [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Enable auth for this test [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "true" [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Create LLMInferenceService [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] > wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_auth.py:275: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...enable-a18fd8e2'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-enabled-89f54b63'}]}, [e2e-llm-inference-service] 'status': None}, 900) [e2e-llm-inference-service] kwargs = {}, func_name = 'wait_for_llm_isvc_ready' [e2e-llm-inference-service] timestamp_start = '2026-07-13T20:32:02.791845', start_time = 1783974722.7922158 [e2e-llm-inference-service] duration = 900.6645452976227, timestamp_end = '2026-07-13T20:47:03.456764' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] given = {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security....-auth-enable-a18fd8e2'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-enabled-89f54b63'}]}, [e2e-llm-inference-service] 'status': None} [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] given: V1alpha1LLMInferenceService, [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] return True [e2e-llm-inference-service] [e2e-llm-inference-service] > return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1204: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fb7b6036ca0> [e2e-llm-inference-service] timeout = 900, interval = 1.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] > raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] E AssertionError: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1199: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-auth-enabled-tes-210a8f79 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-auth-enabled-tes-210a8f79 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-managed-auth-enabled-tes-210a8f79 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-single-cpu-auth-enable-a18fd8e2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-single-cpu-auth-enable-a18fd8e2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-single-cpu-auth-enable-a18fd8e2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-auth-enabled-89f54b63 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-auth-enabled-89f54b63 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-auth-enabled-89f54b63 [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:141 Patched Gateway kserve-ci-e2e-test/router-gateway-1 with parametersRef [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:163 Gateway kserve-ci-e2e-test/router-gateway-1 is Programmed [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_auth_enabled_requires_token] [2026-07-13T20:32:02.149205] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KServe is a', service_name='auth-enabled-test', endpoint='/v1/completions', max_tokens=20, payload_formatter=None, response_assertion=, wait_timeout=900, response_timeout=60, extra_headers=None, url_getter=None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'auth-enabled-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-auth-enabled-tes-210a8f79'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-auth-enable-a18fd8e2'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-enabled-89f54b63'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-13T20:32:02.163049] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'true'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'auth-enabled-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-auth-enabled-tes-210a8f79'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-auth-enable-a18fd8e2'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-enabled-89f54b63'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-13T20:32:02.791694] end - ✅ in 0.628s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-13T20:32:02.791845] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'true'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'auth-enabled-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-auth-enabled-tes-210a8f79'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-auth-enable-a18fd8e2'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-enabled-89f54b63'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:32:20Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/auth-enabled-test-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'message': 'Inference Pool kserve-ci-e2e-test/auth-enabled-test-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/auth-enabled-test-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/auth-enabled-test-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 1: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:02Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 2, "llminferenceservices": 2, "authpolicies": 1} [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 2: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:02Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 2, "llminferenceservices": 2, "authpolicies": 1} [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 3: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:02Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 2, "llminferenceservices": 2, "authpolicies": 1} [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_llm_isvc_ready] [2026-07-13T20:47:03.456764] end - ❌ 900.665s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_auth.py:345 ❌ ERROR: Failed test for auth-enabled-test: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'auth-enabled-test' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService auth-enabled-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'true' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:02Z' [e2e-llm-inference-service] finalizers: [e2e-llm-inference-service] - serving.kserve.io/llmisvc-finalizer [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:security.opendatahub.io/enable-auth: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:baseRefs: {} [e2e-llm-inference-service] manager: OpenAPI-Generator [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:02Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:finalizers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] v:"serving.kserve.io/llmisvc-finalizer": {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:08Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '22676' [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-managed-auth-enabled-tes-210a8f79 [e2e-llm-inference-service] - name: workload-single-cpu-auth-enable-a18fd8e2 [e2e-llm-inference-service] - name: model-fb-opt-125m-auth-enabled-89f54b63 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external-model-routing [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/auth-enabled-test [e2e-llm-inference-service] - name: gateway-internal-model-routing [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/ [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/auth-enabled-test [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:33Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:33Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:33Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:20Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:33Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:33Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/auth-enabled-test [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-5dcdbd74bf-fbc4n to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 3.077s (3.077s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-5b85d8b48f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-5dcdbd74bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.26/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.145s (1.145s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.559s (1.559s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:41 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:35:17 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.132.0.50:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:35 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 5.991s (5.991s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.588s (1.588s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 29.738s (29.738s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:41 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-7d9475576c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7dbc9b54cf from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:02 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-k7wrt to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-lzjqc to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-w858r to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.46:15021/healthz/ready": context deadline exceeded (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-znbzj to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-799f46c59b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-54c47cdfc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-799f46c59b from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-54c47cdfc7 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test GatewayAuthBootstrap Warning ReconcileError Failed to delete gateway PodMonitor: failed to delete PodMonitor: podmonitors.monitoring.coreos.com "router-gateway-1-metrics" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod auth-enabled-test-kserve-5dcdbd74bf-fbc4n (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 20:32:21.634 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 20:32:21.634 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_53da3b8a-3844-4819-b0c1-febc7f1742bd'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/5HHJ6px3_ZRDOG3OxNZMhuycwOk=.a591333512516f58bf2002045dece909a0ccdb8b.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_2d6fa2a9-84e5-49fa-b7ad-3ae93d0b3a03'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Xn7B-BWUGOee2Y6hCZtEhtFu4BE=.38c05904caf6e5b9f04ecda5c973d77e6c1da151.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_8935e8e4-72c8-4c2c-9477-75fffd0c7d1b'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_6061e66e-9e9a-4112-99d1-cb8d105e3520'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/gPcsVCQDYDHk-_n0G9uADl7PXIM=.61c60ec52ed43038fff0fbbd68b080c94b0d94b4c8458dbd65965f9b17631c89.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_4ef19de5-88e8-401f-af88-bed589251cd8'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_e8775eeb-37e2-460c-a739-96f030cf82fc'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_a8100f86-2af4-4e8e-8ec3-522bf0abe2b4'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Q1p2l2BzM1m6P5jKvr8WTq1TUio=.2d74da6615135c58cf3cf9ad4cb11e7c613ff9e55fe658a47ab83b6c8d1174a9.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_bf4daab1-da41-45e8-964c-56317ef0819a'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_2333eefb-4803-458d-a8c5-4b1b8889920d'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:204 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': '32a230bc-a783-42a4-bc82-fc844dda8ffb', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Mon, 13 Jul 2026 20:47:03 GMT', 'Content-Length': '223'}) [e2e-llm-inference-service] HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"container \"main\" in pod \"auth-enabled-test-kserve-5dcdbd74bf-fbc4n\" is waiting to start: PodInitializing","reason":"BadRequest","code":400} [e2e-llm-inference-service] [e2e-llm-inference-service] ) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 20:32:23.448 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 20:32:23.449 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-13 20:32:23.449 1 storage.initializer INFO [kserve_storage.py:download():169] Allow patterns: ['tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json', 'vocab.json', 'merges.txt', 'config.json', 'generation_config.json'] [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_9589f912-4c54-4782-a321-4624738ababf'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_2b090ce0-f0e9-4fc9-a0d6-f48b61964aff'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_1bca5f94-afbd-4672-8e1f-5f94bc1cf7d1'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_a4ec6c8f-46be-4c68-8330-4aefbc7f7d9d'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_578fa0cf-1b40-45b8-9e2c-1dde15e4434d'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_53bf4a23-4a52-492a-929b-bd7a677f67ad'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-13 20:32:23.865 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-13 20:32:23.865 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.41650983600004565 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 "Type": "STRING", [e2e-llm-inference-service] "Value": "github.com/llm-d/llm-d-router/pkg/common/error.Error" [e2e-llm-inference-service] } [e2e-llm-inference-service] }, [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "exception.message", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request" [e2e-llm-inference-service] } [e2e-llm-inference-service] } [e2e-llm-inference-service] ], [e2e-llm-inference-service] "DroppedAttributeCount": 0, [e2e-llm-inference-service] "Time": "2026-07-13T20:36:18.6746342Z" [e2e-llm-inference-service] } [e2e-llm-inference-service] ], [e2e-llm-inference-service] "Links": null, [e2e-llm-inference-service] "Status": { [e2e-llm-inference-service] "Code": "Error", [e2e-llm-inference-service] "Description": "inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request" [e2e-llm-inference-service] }, [e2e-llm-inference-service] "DroppedAttributes": 0, [e2e-llm-inference-service] "DroppedEvents": 0, [e2e-llm-inference-service] "DroppedLinks": 0, [e2e-llm-inference-service] "ChildSpanCount": 0, [e2e-llm-inference-service] "Resource": [ [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "service.name", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "llm-d-epp" [e2e-llm-inference-service] } [e2e-llm-inference-service] }, [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "service.version", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "v0.9.0-rc.2" [e2e-llm-inference-service] } [e2e-llm-inference-service] } [e2e-llm-inference-service] ], [e2e-llm-inference-service] "InstrumentationScope": { [e2e-llm-inference-service] "Name": "llm-d-router/pkg/epp/requestcontrol", [e2e-llm-inference-service] "Version": "v0.9.0-rc.2", [e2e-llm-inference-service] "SchemaURL": "", [e2e-llm-inference-service] "Attributes": [ [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "commit-sha", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "181aa8358916e19b8844ccc752b2d6153d4b2ad6" [e2e-llm-inference-service] } [e2e-llm-inference-service] } [e2e-llm-inference-service] ] [e2e-llm-inference-service] }, [e2e-llm-inference-service] "InstrumentationLibrary": { [e2e-llm-inference-service] "Name": "llm-d-router/pkg/epp/requestcontrol", [e2e-llm-inference-service] "Version": "v0.9.0-rc.2", [e2e-llm-inference-service] "SchemaURL": "", [e2e-llm-inference-service] "Attributes": [ [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "commit-sha", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "181aa8358916e19b8844ccc752b2d6153d4b2ad6" [e2e-llm-inference-service] } [e2e-llm-inference-service] } [e2e-llm-inference-service] ] [e2e-llm-inference-service] } [e2e-llm-inference-service] } [e2e-llm-inference-service] { [e2e-llm-inference-service] "Name": "gateway.request", [e2e-llm-inference-service] "SpanContext": { [e2e-llm-inference-service] "TraceID": "ad639436b5d3766f15e50e8c11ea978f", [e2e-llm-inference-service] "SpanID": "35204c7956297da5", [e2e-llm-inference-service] "TraceFlags": "01", [e2e-llm-inference-service] "TraceState": "", [e2e-llm-inference-service] "Remote": false [e2e-llm-inference-service] }, [e2e-llm-inference-service] "Parent": { [e2e-llm-inference-service] "TraceID": "00000000000000000000000000000000", [e2e-llm-inference-service] "SpanID": "0000000000000000", [e2e-llm-inference-service] "TraceFlags": "00", [e2e-llm-inference-service] "TraceState": "", [e2e-llm-inference-service] "Remote": false [e2e-llm-inference-service] }, [e2e-llm-inference-service] "SpanKind": 2, [e2e-llm-inference-service] "StartTime": "2026-07-13T20:36:18.67456848Z", [e2e-llm-inference-service] "EndTime": "2026-07-13T20:36:18.674723151Z", [e2e-llm-inference-service] "Attributes": null, [e2e-llm-inference-service] "Events": [ [e2e-llm-inference-service] { [e2e-llm-inference-service] "Name": "exception", [e2e-llm-inference-service] "Attributes": [ [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "exception.type", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "github.com/llm-d/llm-d-router/pkg/common/error.Error" [e2e-llm-inference-service] } [e2e-llm-inference-service] }, [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "exception.message", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request" [e2e-llm-inference-service] } [e2e-llm-inference-service] } [e2e-llm-inference-service] ], [e2e-llm-inference-service] "DroppedAttributeCount": 0, [e2e-llm-inference-service] "Time": "2026-07-13T20:36:18.67472204Z" [e2e-llm-inference-service] } [e2e-llm-inference-service] ], [e2e-llm-inference-service] "Links": null, [e2e-llm-inference-service] "Status": { [e2e-llm-inference-service] "Code": "Error", [e2e-llm-inference-service] "Description": "inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request" [e2e-llm-inference-service] }, [e2e-llm-inference-service] "DroppedAttributes": 0, [e2e-llm-inference-service] "DroppedEvents": 0, [e2e-llm-inference-service] "DroppedLinks": 0, [e2e-llm-inference-service] "ChildSpanCount": 1, [e2e-llm-inference-service] "Resource": [ [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "service.name", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "llm-d-epp" [e2e-llm-inference-service] } [e2e-llm-inference-service] }, [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "service.version", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "v0.9.0-rc.2" [e2e-llm-inference-service] } [e2e-llm-inference-service] } [e2e-llm-inference-service] ], [e2e-llm-inference-service] "InstrumentationScope": { [e2e-llm-inference-service] "Name": "llm-d-router/pkg/epp/handlers", [e2e-llm-inference-service] "Version": "v0.9.0-rc.2", [e2e-llm-inference-service] "SchemaURL": "", [e2e-llm-inference-service] "Attributes": [ [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "commit-sha", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "181aa8358916e19b8844ccc752b2d6153d4b2ad6" [e2e-llm-inference-service] } [e2e-llm-inference-service] } [e2e-llm-inference-service] ] [e2e-llm-inference-service] }, [e2e-llm-inference-service] "InstrumentationLibrary": { [e2e-llm-inference-service] "Name": "llm-d-router/pkg/epp/handlers", [e2e-llm-inference-service] "Version": "v0.9.0-rc.2", [e2e-llm-inference-service] "SchemaURL": "", [e2e-llm-inference-service] "Attributes": [ [e2e-llm-inference-service] { [e2e-llm-inference-service] "Key": "commit-sha", [e2e-llm-inference-service] "Value": { [e2e-llm-inference-service] "Type": "STRING", [e2e-llm-inference-service] "Value": "181aa8358916e19b8844ccc752b2d6153d4b2ad6" [e2e-llm-inference-service] } [e2e-llm-inference-service] } [e2e-llm-inference-service] ] [e2e-llm-inference-service] } [e2e-llm-inference-service] } [e2e-llm-inference-service] {"level":"info","ts":1783975042.704531,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"5fc8229a-1f7f-4618-82bf-3081988a13bf"} [e2e-llm-inference-service] {"level":"error","ts":1783975042.704658,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"5fc8229a-1f7f-4618-82bf-3081988a13bf","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975042.7046933,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"5fc8229a-1f7f-4618-82bf-3081988a13bf","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"info","ts":1783975162.745725,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"4739f105-84dc-46a9-bfde-482608bb0e1e"} [e2e-llm-inference-service] {"level":"error","ts":1783975162.7458487,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"4739f105-84dc-46a9-bfde-482608bb0e1e","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975162.7458863,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"4739f105-84dc-46a9-bfde-482608bb0e1e","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"info","ts":1783975282.7799315,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"53de04e4-49df-45ca-ae8a-10a53c2d449b"} [e2e-llm-inference-service] {"level":"error","ts":1783975282.7800515,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"53de04e4-49df-45ca-ae8a-10a53c2d449b","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975282.7800865,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"53de04e4-49df-45ca-ae8a-10a53c2d449b","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"info","ts":1783975287.8527634,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"ae0f31bf-fe44-4f2c-8398-4ebb5c1e4f3f"} [e2e-llm-inference-service] {"level":"error","ts":1783975287.8528883,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"ae0f31bf-fe44-4f2c-8398-4ebb5c1e4f3f","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975287.852931,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"ae0f31bf-fe44-4f2c-8398-4ebb5c1e4f3f","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"info","ts":1783975287.856454,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"ecab9126-f52f-4c10-88b5-8e41f08e6b22"} [e2e-llm-inference-service] {"level":"error","ts":1783975287.8565714,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"ecab9126-f52f-4c10-88b5-8e41f08e6b22","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975287.8566222,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"ecab9126-f52f-4c10-88b5-8e41f08e6b22","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"info","ts":1783975291.860627,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"9cfd14b9-a91e-449b-9cbe-0bde62f0d8ba"} [e2e-llm-inference-service] {"level":"error","ts":1783975291.8607683,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"9cfd14b9-a91e-449b-9cbe-0bde62f0d8ba","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975291.8608153,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"9cfd14b9-a91e-449b-9cbe-0bde62f0d8ba","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"info","ts":1783975299.8653884,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"ec842f06-9ab1-4306-9652-dde1069913a1"} [e2e-llm-inference-service] {"level":"error","ts":1783975299.865519,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"ec842f06-9ab1-4306-9652-dde1069913a1","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975299.8655596,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"ec842f06-9ab1-4306-9652-dde1069913a1","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"info","ts":1783975315.8717344,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"67343866-e7bd-49a3-a7a2-0fbea697e225"} [e2e-llm-inference-service] {"level":"error","ts":1783975315.8718898,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"67343866-e7bd-49a3-a7a2-0fbea697e225","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975315.8719332,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"67343866-e7bd-49a3-a7a2-0fbea697e225","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"info","ts":1783975347.8777113,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"b10d2cbf-35c2-4a37-b4bc-83103aa6adf6"} [e2e-llm-inference-service] {"level":"error","ts":1783975347.8778343,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"b10d2cbf-35c2-4a37-b4bc-83103aa6adf6","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975347.8778694,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"b10d2cbf-35c2-4a37-b4bc-83103aa6adf6","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"info","ts":1783975411.9148004,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"7c573afa-a197-4d94-a640-dc9d2bebd5c5"} [e2e-llm-inference-service] {"level":"error","ts":1783975411.9149137,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"7c573afa-a197-4d94-a640-dc9d2bebd5c5","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975411.9149568,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"7c573afa-a197-4d94-a640-dc9d2bebd5c5","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"info","ts":1783975531.9477453,"caller":"handlers/server.go:395","msg":"EPP received request","x-request-id":"872b203b-1c79-42f2-94ea-59bd339fef19"} [e2e-llm-inference-service] {"level":"error","ts":1783975531.9478562,"caller":"handlers/server.go:439","msg":"Error handling request","x-request-id":"872b203b-1c79-42f2-94ea-59bd339fef19","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:439\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] {"level":"error","ts":1783975531.9478984,"caller":"handlers/server.go:519","msg":"Failed to process request","x-request-id":"872b203b-1c79-42f2-94ea-59bd339fef19","error":"inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request","stacktrace":"github.com/llm-d/llm-d-router/pkg/epp/handlers.(*StreamingServer).Process\n\t/workspace/pkg/epp/handlers/server.go:519\ngithub.com/envoyproxy/go-control-plane/envoy/service/ext_proc/v3._ExternalProcessor_Process_Handler\n\t/go/pkg/mod/github.com/envoyproxy/go-control-plane/envoy@v1.37.0/service/ext_proc/v3/external_processor_grpc.pb.go:106\ngoogle.golang.org/grpc.(*Server).processStreamingRPC\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1716\ngoogle.golang.org/grpc.(*Server).handleStream\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1860\ngoogle.golang.org/grpc.(*Server).serveStreams.func2.1\n\t/go/pkg/mod/google.golang.org/grpc@v1.81.1/server.go:1065"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 5e5469aa-8e5f-4cb1-9464-60bb4651f614 [e2e-llm-inference-service] resourceVersion: '22668' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:32:55Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.133.0.29 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] uid: 131a59e2-27a4-4f84-b6bf-2c873649fe31 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 50da921e-6d36-47a0-9a7d-2af222f43bd2 [e2e-llm-inference-service] resourceVersion: '22265' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - notReadyAddresses: [e2e-llm-inference-service] - ip: 10.134.0.30 [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] uid: 655c1ba2-949d-4d01-b04f-a477ad52cd42 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] generateName: auth-enabled-test-kserve-5dcdbd74bf- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 655c1ba2-949d-4d01-b04f-a477ad52cd42 [e2e-llm-inference-service] resourceVersion: '22264' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 5dcdbd74bf [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.30/23"],"mac_address":"0a:58:0a:86:00:1e","gateway_ips":["10.134.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.134.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.134.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.134.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.134.0.1"}],"ip_address":"10.134.0.30/23","gateway_ip":"10.134.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.134.0.30\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:1e\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: auth-enabled-test-kserve-5dcdbd74bf [e2e-llm-inference-service] uid: 10f2a797-fbf4-4565-afb8-8eadc3474ed4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-139 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"10f2a797-fbf4-4565-afb8-8eadc3474ed4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.30"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-f22bc [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-f22bc [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\" \\\n --port 8000\ [e2e-llm-inference-service] \ \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh\ [e2e-llm-inference-service] \ \\\n --ssl-certfile /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-f22bc [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Pending [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:22Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] reason: ContainersNotInitialized [e2e-llm-inference-service] message: 'containers with incomplete status: [storage-initializer]' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [main]' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [main]' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] hostIP: 10.0.140.139 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.139 [e2e-llm-inference-service] podIP: 10.134.0.30 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.30 [e2e-llm-inference-service] startTime: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T20:32:21Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://6a01f9acfde9dfd7139c11af147834a624b3b5f4a26f32480b6f9006340b666c [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-f22bc [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] waiting: [e2e-llm-inference-service] reason: PodInitializing [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: '' [e2e-llm-inference-service] started: false [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-f22bc [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] generateName: auth-enabled-test-kserve-router-scheduler-5b85d8b48f- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 131a59e2-27a4-4f84-b6bf-2c873649fe31 [e2e-llm-inference-service] resourceVersion: '22667' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 5b85d8b48f [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.29/23"],"mac_address":"0a:58:0a:85:00:1d","gateway_ips":["10.133.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.133.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.133.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.133.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.133.0.1"}],"ip_address":"10.133.0.29/23","gateway_ip":"10.133.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.133.0.29\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:1d\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: auth-enabled-test-kserve-router-scheduler-5b85d8b48f [e2e-llm-inference-service] uid: 4e78fe6e-b428-4a45-96cd-b2c65bed78de [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"4e78fe6e-b428-4a45-96cd-b2c65bed78de"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: ip-10-0-140-147 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:23Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.29"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-sdkp2 [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-sdkp2 [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - auth-enabled-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-sdkp2 [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: auth-enabled-test-epp-sa [e2e-llm-inference-service] serviceAccount: auth-enabled-test-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: auth-enabled-test-epp-sa-dockercfg-hrg7q [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:23Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:23Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:55Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:55Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] hostIP: 10.0.140.147 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.147 [e2e-llm-inference-service] podIP: 10.133.0.29 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.29 [e2e-llm-inference-service] startTime: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-13T20:32:23Z' [e2e-llm-inference-service] finishedAt: '2026-07-13T20:32:23Z' [e2e-llm-inference-service] containerID: cri-o://75a4dc336a6d98daa730297b5d70dd877e865ec209d112aa2ae6581a8de95661 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://75a4dc336a6d98daa730297b5d70dd877e865ec209d112aa2ae6581a8de95661 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-sdkp2 [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T20:32:24Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://f333b492add2cd220b83f1d1d5bbc089295186803d3db867248e286a6dbc88af [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-sdkp2 [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: cacf2929-0877-4fcc-9bb6-0ae5ad98f7e0 [e2e-llm-inference-service] resourceVersion: '22135' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: auth-enabled-test-epp-sa-dockercfg-hrg7q [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: openshift.io/image-registry-pull-secrets_service-account-controller [e2e-llm-inference-service] operation: Apply [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"auth-enabled-test-epp-sa-dockercfg-hrg7q"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-559w9"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: auth-enabled-test-epp-sa-dockercfg-hrg7q [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: auth-enabled-test-epp-sa-dockercfg-hrg7q [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f46624f3-2cc2-4736-8e45-96cfd765f78f [e2e-llm-inference-service] resourceVersion: '22158' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.231.1 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.231.1 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f9c288da-a446-4579-b015-d2b4d8476303 [e2e-llm-inference-service] resourceVersion: '22124' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.14.222 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.14.222 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: cd812e50-3367-4a93-9e16-6b276a7dc1b1 [e2e-llm-inference-service] resourceVersion: '28867' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:42:18Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:unavailableReplicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] unavailableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:42:18Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:42:18Z' [e2e-llm-inference-service] reason: ProgressDeadlineExceeded [e2e-llm-inference-service] message: ReplicaSet "auth-enabled-test-kserve-5dcdbd74bf" has timed out progressing. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: b683e352-6211-47db-8d02-c436242a51cb [e2e-llm-inference-service] resourceVersion: '22671' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - auth-enabled-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: auth-enabled-test-epp-sa [e2e-llm-inference-service] serviceAccount: auth-enabled-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: Recreate [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "auth-enabled-test-kserve-router-scheduler-5b85d8b48f" has [e2e-llm-inference-service] successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-kserve-5dcdbd74bf [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 10f2a797-fbf4-4565-afb8-8eadc3474ed4 [e2e-llm-inference-service] resourceVersion: '22140' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 5dcdbd74bf [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: auth-enabled-test-kserve [e2e-llm-inference-service] uid: cd812e50-3367-4a93-9e16-6b276a7dc1b1 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"cd812e50-3367-4a93-9e16-6b276a7dc1b1"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 5dcdbd74bf [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 5dcdbd74bf [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-kserve-router-scheduler-5b85d8b48f [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4e78fe6e-b428-4a45-96cd-b2c65bed78de [e2e-llm-inference-service] resourceVersion: '22670' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 5b85d8b48f [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] uid: b683e352-6211-47db-8d02-c436242a51cb [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"b683e352-6211-47db-8d02-c436242a51cb"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 5b85d8b48f [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 5b85d8b48f [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - auth-enabled-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: auth-enabled-test-epp-sa [e2e-llm-inference-service] serviceAccount: auth-enabled-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f18da4f0-81a4-4f19-bb93-ba92c3e87595 [e2e-llm-inference-service] resourceVersion: '22150' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: auth-enabled-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: auth-enabled-test-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3a927e68-7ef4-487e-be4d-8358e7a4ed2c [e2e-llm-inference-service] resourceVersion: '22146' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-epp-service-jkq44 [e2e-llm-inference-service] generateName: auth-enabled-test-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4f62ca11-2816-47d4-a004-b9435faa0710 [e2e-llm-inference-service] resourceVersion: '22669' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: auth-enabled-test-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:32:55Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-enabled-test-epp-service [e2e-llm-inference-service] uid: f46624f3-2cc2-4736-8e45-96cfd765f78f [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:56Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f46624f3-2cc2-4736-8e45-96cfd765f78f"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.133.0.29 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] uid: 131a59e2-27a4-4f84-b6bf-2c873649fe31 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc-qmknl [e2e-llm-inference-service] generateName: auth-enabled-test-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 22e47a3b-1558-4bd2-a72f-c797cc45b674 [e2e-llm-inference-service] resourceVersion: '22266' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] uid: f9c288da-a446-4579-b015-d2b4d8476303 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f9c288da-a446-4579-b015-d2b4d8476303"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.134.0.30 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] serving: false [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] uid: 655c1ba2-949d-4d01-b04f-a477ad52cd42 [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f18da4f0-81a4-4f19-bb93-ba92c3e87595 [e2e-llm-inference-service] resourceVersion: '22150' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:auth-enabled-test-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-enabled-test-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-enabled-test-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3a927e68-7ef4-487e-be4d-8358e7a4ed2c [e2e-llm-inference-service] resourceVersion: '22146' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22415' [e2e-llm-inference-service] uid: 8029c31d-a5fa-41bd-880e-ecdf92dd95d1 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-enabled-test/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-enabled-test/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-enabled-test/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-enabled-test/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-enabled-test [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22415' [e2e-llm-inference-service] uid: 8029c31d-a5fa-41bd-880e-ecdf92dd95d1 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-enabled-test/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-enabled-test/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-enabled-test/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-enabled-test/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-enabled-test [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:endpointPickerRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:number: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:matchLabels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPorts: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:17Z' [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22402' [e2e-llm-inference-service] uid: 5f60f336-3ab6-43dd-815a-6cbc3b389a8d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-enabled-test-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPorts: [e2e-llm-inference-service] - number: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] message: Referenced by an HTTPRoute accepted by the parentRef Gateway [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22188' [e2e-llm-inference-service] uid: 769302cf-869b-46f6-9fa3-f7397982a653 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-enabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-enabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22411' [e2e-llm-inference-service] uid: 4e2a14b2-eb2e-4f72-90f2-7ac57f2d1ba2 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-enabled-test-inference-pool-ip-0e6361b2.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-enabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22208' [e2e-llm-inference-service] uid: 57ee4f06-24be-44a6-ab1e-36cbb5fa2092 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-enabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-enabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22188' [e2e-llm-inference-service] uid: 769302cf-869b-46f6-9fa3-f7397982a653 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-enabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-enabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22411' [e2e-llm-inference-service] uid: 4e2a14b2-eb2e-4f72-90f2-7ac57f2d1ba2 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-enabled-test-inference-pool-ip-0e6361b2.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-enabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22208' [e2e-llm-inference-service] uid: 57ee4f06-24be-44a6-ab1e-36cbb5fa2092 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-enabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-enabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22188' [e2e-llm-inference-service] uid: 769302cf-869b-46f6-9fa3-f7397982a653 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-enabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-enabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:32Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22411' [e2e-llm-inference-service] uid: 4e2a14b2-eb2e-4f72-90f2-7ac57f2d1ba2 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-enabled-test-inference-pool-ip-0e6361b2.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-enabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] name: auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22208' [e2e-llm-inference-service] uid: 57ee4f06-24be-44a6-ab1e-36cbb5fa2092 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-enabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-enabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"64a312e0-7c42-4484-9c0e-b5ae010b54e4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:extensionRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:portNumber: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPortNumber: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:32:18Z' [e2e-llm-inference-service] name: auth-enabled-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-enabled-test [e2e-llm-inference-service] uid: 64a312e0-7c42-4484-9c0e-b5ae010b54e4 [e2e-llm-inference-service] resourceVersion: '22170' [e2e-llm-inference-service] uid: 66008a41-ea39-4d82-aedb-b04c2493892c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-enabled-test-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:47:05Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-enabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 5b85d8b48f [e2e-llm-inference-service] timestamp: '2026-07-13T20:46:44Z' [e2e-llm-inference-service] window: 11.344s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 525299n [e2e-llm-inference-service] memory: 24432Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_auth.py:374 ⏭️ Skipping deletion of auth-enabled-test due to test failure (SKIP_DELETION_ON_FAILURE=True) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_auth_enabled_requires_token] [2026-07-13T20:47:05.657113] end - ❌ 903.507s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:20Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:32:56Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:32:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] _____ test_llm_inference_service[router-managed-workload-llmd-simulator1] ______ [e2e-llm-inference-service] [gw1] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-managed', 'workload-llmd-simulator'], prompt='KServe is a', service_name='llmisvc-router-m... {'name': 'workload-llmd-simulator-llmisvc-8461fd55'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] print(f"{prefix} Waiting for model response from {service_name}") [e2e-llm-inference-service] > wait_for_model_response( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] test_case, [e2e-llm-inference-service] test_case.wait_timeout, [e2e-llm-inference-service] extra_headers=test_case.extra_headers, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:816: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, TestCase(base_refs=['router-managed', 'workload-llm... {'name': 'workload-llmd-simulator-llmisvc-8461fd55'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900) [e2e-llm-inference-service] kwargs = {'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}} [e2e-llm-inference-service] func_name = 'wait_for_model_response' [e2e-llm-inference-service] timestamp_start = '2026-07-13T20:35:18.591353', start_time = 1783974918.5917783 [e2e-llm-inference-service] duration = 1102.6349976062775, timestamp_end = '2026-07-13T20:53:41.226779' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-managed', 'workload-llmd-simulator'], prompt='KServe is a', service_name='llmisvc-router-m... {'name': 'workload-llmd-simulator-llmisvc-8461fd55'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] extra_headers = {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_model_response( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] test_case: TestCase, # noqa: F811 [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] extra_headers: Optional[Dict[str, str]] = None, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Model response is {response.status_code}: {response.text[:500]}") [e2e-llm-inference-service] [e2e-llm-inference-service] if 200 <= response.status_code < 300: [e2e-llm-inference-service] return response [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Service returned {response.status_code}: {response.text}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] > response = wait_for(get_successful_response, timeout=timeout_seconds, interval=5.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1119: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .get_successful_response at 0x7f8e716a72e0> [e2e-llm-inference-service] timeout = 900, interval = 5.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Model response is {response.status_code}: {response.text[:500]}") [e2e-llm-inference-service] [e2e-llm-inference-service] if 200 <= response.status_code < 300: [e2e-llm-inference-service] return response [e2e-llm-inference-service] > raise AssertionError( [e2e-llm-inference-service] f"Service returned {response.status_code}: {response.text}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] E AssertionError: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1115: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-llmisvc-router-m-0cc5ee6c in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-router-m-0cc5ee6c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-router-m-0cc5ee6c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-8461fd55 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-8461fd55 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-8461fd55 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-llmisvc-model-qw-ab631bc0 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-model-qw-ab631bc0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-model-qw-ab631bc0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-ef361761 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-ef361761 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-ef361761 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-qwen2-5-0-5b-llmisvc-mode-5aed586c in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-qwen2-5-0-5b-llmisvc-mode-5aed586c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-qwen2-5-0-5b-llmisvc-mode-5aed586c [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-13T20:34:31.426631] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-llmd-simulator'], prompt='KServe is a', service_name='llmisvc-router-managed-test-llm-5b1e8f15', endpoint='/v1/completions', max_tokens=20, payload_formatter=, response_assertion=.response_assertion at 0x7f8e726b4720>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[TestCase(base_refs=['router-managed', 'workload-llmd-simulator', 'model-qwen2.5-0.5b'], prompt='KServe is a', service_name='llmisvc-model-qwen2-5-0-5b-rout-a50492e9', endpoint='/v1/completions', max_tokens=20, payload_formatter=, response_assertion=.response_assertion at 0x7f8e726b47c0>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/Qwen/Qwen2.5-0.5B-Instruct'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-qwen2-5-0-5b-rout-a50492e9', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-qw-ab631bc0'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-ef361761'}, [e2e-llm-inference-service] {'name': 'model-qwen2-5-0-5b-llmisvc-mode-5aed586c'}]}, [e2e-llm-inference-service] 'status': None}, model_name='Qwen/Qwen2.5-0.5B-Instruct')], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-5b1e8f15', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-0cc5ee6c'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-8461fd55'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-13T20:34:31.439250] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-5b1e8f15', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-0cc5ee6c'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-8461fd55'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-13T20:34:31.497744] end - ✅ in 0.058s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-13T20:34:31.497925] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-5b1e8f15', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-0cc5ee6c'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-8461fd55'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:34:47Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:34:47Z', 'message': 'Inference Pool kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:34:47Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:34:47Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:34:47Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:34:47Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:34:47Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:34:47Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:35:00Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:35:00Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:35:00Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:34:47Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:35:00Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:35:00Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:35:00Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:35:00Z', 'status': 'True', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [wait_for_llm_isvc_ready] [2026-07-13T20:35:18.591213] end - ✅ in 47.093s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_model_response] [2026-07-13T20:35:18.591353] start - args=(, TestCase(base_refs=['router-managed', 'workload-llmd-simulator'], prompt='KServe is a', service_name='llmisvc-router-managed-test-llm-5b1e8f15', endpoint='/v1/completions', max_tokens=20, payload_formatter=, response_assertion=.response_assertion at 0x7f8e726b4720>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[TestCase(base_refs=['router-managed', 'workload-llmd-simulator', 'model-qwen2.5-0.5b'], prompt='KServe is a', service_name='llmisvc-model-qwen2-5-0-5b-rout-a50492e9', endpoint='/v1/completions', max_tokens=20, payload_formatter=, response_assertion=.response_assertion at 0x7f8e726b47c0>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/Qwen/Qwen2.5-0.5B-Instruct'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-qwen2-5-0-5b-rout-a50492e9', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-qw-ab631bc0'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-ef361761'}, [e2e-llm-inference-service] {'name': 'model-qwen2-5-0-5b-llmisvc-mode-5aed586c'}]}, [e2e-llm-inference-service] 'status': None}, model_name='Qwen/Qwen2.5-0.5B-Instruct')], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-5b1e8f15', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-0cc5ee6c'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-8461fd55'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900), kwargs={'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T20:35:18.591783] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-5b1e8f15', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-0cc5ee6c'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-8461fd55'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-router-managed-test-llm-5b1e8f15: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T20:35:18.599388] end - ✅ in 0.007s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/completions with payload {'model': 'facebook/opt-125m', 'prompt': 'KServe is a', 'max_tokens': 20} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T20:41:27.782705] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-5b1e8f15', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-0cc5ee6c'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-8461fd55'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-router-managed-test-llm-5b1e8f15: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T20:41:27.831457] end - ✅ in 0.048s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/completions with payload {'model': 'facebook/opt-125m', 'prompt': 'KServe is a', 'max_tokens': 20} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T20:47:36.978941] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-5b1e8f15', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-0cc5ee6c'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-8461fd55'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-router-managed-test-llm-5b1e8f15: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T20:47:37.023218] end - ✅ in 0.044s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/completions with payload {'model': 'facebook/opt-125m', 'prompt': 'KServe is a', 'max_tokens': 20} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_model_response] [2026-07-13T20:53:41.226779] end - ❌ 1102.635s: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-managed-workload-llmd-simulator] ❌ ERROR: Failed to call llm inference service llmisvc-router-managed-test-llm-5b1e8f15: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'llmisvc-router-managed-test-llm-5b1e8f15' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:31Z' [e2e-llm-inference-service] finalizers: [e2e-llm-inference-service] - serving.kserve.io/llmisvc-finalizer [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:security.opendatahub.io/enable-auth: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:baseRefs: {} [e2e-llm-inference-service] manager: OpenAPI-Generator [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:31Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:finalizers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] v:"serving.kserve.io/llmisvc-finalizer": {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:31Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '24661' [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-managed-llmisvc-router-m-0cc5ee6c [e2e-llm-inference-service] - name: workload-llmd-simulator-llmisvc-8461fd55 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external-model-routing [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] - name: gateway-internal-model-routing [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/ [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:35:00Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:35:00Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:35:00Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:47Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:35:00Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-8846b76cf-l9hlg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:51:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-8846b76cf-l9hlg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-74b57f8bdb from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-8846b76cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-5dcdbd74bf-fbc4n to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 3.077s (3.077s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-5b85d8b48f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-5dcdbd74bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-6997b7c89-lfxgj to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:19 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 26.952s (26.952s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-6997b7c89-lfxgj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:17 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.541s (1.541s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-5d9b98884c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-6997b7c89 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:35 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.26/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.145s (1.145s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.559s (1.559s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:53:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:41 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:35:17 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.132.0.50:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:35 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 5.991s (5.991s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.588s (1.588s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 29.738s (29.738s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:41 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-7d9475576c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7dbc9b54cf from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:02 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-k7wrt to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-lzjqc to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:55 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.49:15021/healthz/ready": dial tcp 10.132.0.49:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-c7gts to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.54/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:28 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-w858r to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.46:15021/healthz/ready": context deadline exceeded (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-znbzj to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-799f46c59b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-54c47cdfc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-799f46c59b from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-54c47cdfc7 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test GatewayAuthBootstrap Warning ReconcileError Failed to delete gateway PodMonitor: failed to delete PodMonitor: podmonitors.monitoring.coreos.com "router-gateway-1-metrics" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 I0713 20:34:45.509228 1 config.go:602] "Configuration:" =< [e2e-llm-inference-service] { [e2e-llm-inference-service] "IP": "", [e2e-llm-inference-service] "PodName": "", [e2e-llm-inference-service] "PodNameSpace": "", [e2e-llm-inference-service] "VllmDevMode": false, [e2e-llm-inference-service] "block-size": 16, [e2e-llm-inference-service] "data-parallel-rank": -1, [e2e-llm-inference-service] "data-parallel-size": 1, [e2e-llm-inference-service] "dataset-in-memory": false, [e2e-llm-inference-service] "dataset-path": "", [e2e-llm-inference-service] "dataset-table-name": "llmd", [e2e-llm-inference-service] "dataset-url": "", [e2e-llm-inference-service] "default-embedding-dimensions": 384, [e2e-llm-inference-service] "ec-transfer-config": "", [e2e-llm-inference-service] "enable-kvcache": false, [e2e-llm-inference-service] "enable-prefix-caching": false, [e2e-llm-inference-service] "enable-request-id-headers": false, [e2e-llm-inference-service] "enable-sleep-mode": false, [e2e-llm-inference-service] "enforce-eager": false, [e2e-llm-inference-service] "event-batch-size": 16, [e2e-llm-inference-service] "failure-injection-rate": 0, [e2e-llm-inference-service] "failure-types": null, [e2e-llm-inference-service] "fake-metrics": null, [e2e-llm-inference-service] "fake-metrics-refresh-interval": 100000000, [e2e-llm-inference-service] "global-cache-hit-threshold": 0, [e2e-llm-inference-service] "hash-seed": "", [e2e-llm-inference-service] "inter-token-latency": 0, [e2e-llm-inference-service] "inter-token-latency-std-dev": 0, [e2e-llm-inference-service] "kv-cache-size": 1024, [e2e-llm-inference-service] "kv-cache-transfer-latency": 0, [e2e-llm-inference-service] "kv-cache-transfer-latency-std-dev": 0, [e2e-llm-inference-service] "kv-cache-transfer-time-per-token": 0, [e2e-llm-inference-service] "kv-cache-transfer-time-std-dev": 0, [e2e-llm-inference-service] "latency-calculator": "", [e2e-llm-inference-service] "lora-modules": null, [e2e-llm-inference-service] "max-cpu-loras": 1, [e2e-llm-inference-service] "max-loras": 1, [e2e-llm-inference-service] "max-model-len": 1024, [e2e-llm-inference-service] "max-num-seqs": 5, [e2e-llm-inference-service] "max-tool-call-array-param-length": 5, [e2e-llm-inference-service] "max-tool-call-integer-param": 100, [e2e-llm-inference-service] "max-tool-call-number-param": 100, [e2e-llm-inference-service] "max-waiting-queue-length": 1000, [e2e-llm-inference-service] "min-tool-call-array-param-length": 1, [e2e-llm-inference-service] "min-tool-call-integer-param": 0, [e2e-llm-inference-service] "min-tool-call-number-param": 0, [e2e-llm-inference-service] "mm-encoder-only": false, [e2e-llm-inference-service] "mm-processor-kwargs": "", [e2e-llm-inference-service] "mode": "random", [e2e-llm-inference-service] "model": "facebook/opt-125m", [e2e-llm-inference-service] "object-tool-call-not-required-field-probability": 50, [e2e-llm-inference-service] "port": 8000, [e2e-llm-inference-service] "prefill-overhead": 0, [e2e-llm-inference-service] "prefill-time-per-token": 0, [e2e-llm-inference-service] "prefill-time-std-dev": 0, [e2e-llm-inference-service] "seed": 1783974885508800500, [e2e-llm-inference-service] "self-signed-certs": false, [e2e-llm-inference-service] "served-model-name": [ [e2e-llm-inference-service] "facebook/opt-125m" [e2e-llm-inference-service] ], [e2e-llm-inference-service] "ssl-certfile": "/var/run/kserve/tls/tls.crt", [e2e-llm-inference-service] "ssl-keyfile": "/var/run/kserve/tls/tls.key", [e2e-llm-inference-service] "time-factor-under-load": 1, [e2e-llm-inference-service] "time-to-first-token": 0, [e2e-llm-inference-service] "time-to-first-token-std-dev": 0, [e2e-llm-inference-service] "tool-call-not-required-param-probability": 50, [e2e-llm-inference-service] "uds-socket-path": "/tmp/tokenizer/tokenizer-uds.socket", [e2e-llm-inference-service] "zmq-endpoint": "tcp://127.0.0.1:5557" [e2e-llm-inference-service] } [e2e-llm-inference-service] > [e2e-llm-inference-service] I0713 20:34:45.544299 1 tokenizer.go:104] "Model is not a real HF model, using simulated tokenizer" model="facebook/opt-125m" [e2e-llm-inference-service] I0713 20:34:45.548926 1 context.go:138] "No dataset path or URL provided, using random text for responses" [e2e-llm-inference-service] I0713 20:34:45.548993 1 communication.go:49] "Starting communication layer" [e2e-llm-inference-service] I0713 20:34:45.549017 1 simulator.go:188] "Start processing routine" [e2e-llm-inference-service] I0713 20:34:45.549244 1 http_server_tls.go:44] "HTTPS server starting with certificate files" cert="/var/run/kserve/tls/tls.crt" key="/var/run/kserve/tls/tls.key" [e2e-llm-inference-service] I0713 20:34:45.549319 1 grpc.go:126] "Server starting" protocol="gRPC" port=8000 [e2e-llm-inference-service] I0713 20:34:45.549875 1 http.go:96] "Server starting" protocol="HTTPS" port=8000 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783974885.801853,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783974885.8022156,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"llmisvc-router-managed-test-llm-5b1e8f15-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8023903,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8029828,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8030312,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.803045,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8033228,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"single-profile-handler","parameters":null,"type":"single-profile-handler"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8217177,"logger":"utilization-detector/utilization-detector","caller":"utilization/detector.go:83","msg":"Creating new UtilizationDetector","queueDepthThreshold":5,"kvCacheUtilThreshold":0.8,"metricsStalenessThreshold":"200ms","headroom":0} [e2e-llm-inference-service] {"level":"info","ts":1783974885.821816,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8218627,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8219023,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8219686,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton-tensorrt-llm","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8219898,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8220375,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: single-profile-handler, Type: single-profile-handler} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8220868,"caller":"approximateprefix/plugin.go:88","msg":"Prefix DataProducer initialized","config":{"autoTune":true,"blockSizeTokens":16,"blockSize":0,"maxPrefixBlocksToMatch":2048,"maxPrefixTokensToMatch":131072,"lruCapacityPerServer":31250}} [e2e-llm-inference-service] {"level":"info","ts":1783974885.822177,"caller":"approximateprefix/plugin.go:111","msg":"WARNING: configured blockSizeTokens is below the recommended minimum, overriding it.","blockSizeTokens":16,"minimum":64,"issue":"https://github.com/llm-d/llm-d-router/issues/1158"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8221998,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"approx-prefix-cache-producer/approx-prefix-cache-producer","dataKey":"PrefixCacheMatchInfoDataKey/approx-prefix-cache-producer","consumer":"prefix-cache-scorer"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8222244,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"token-producer/token-producer","dataKey":"TokenizedPrompt/token-producer","consumer":"approx-prefix-cache-producer"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8223114,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8223238,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc00090abc0 DataConfig:{Sources:[{Plugin:0xc0004734d0 Extractors:[0xc00090adc0]}]} FlowControlConfig: ParserRegistry:0xc00090b240}"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8421109,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8421397,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.842172,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8421776,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.842182,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8421865,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8421912,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8421955,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8421998,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.842207,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.842214,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8422213,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8422377,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8422482,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8423223,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8423533,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8423917,"logger":"setup","caller":"datalayer/runtime.go:147","msg":"Source configured","source":"metrics-data-source","extractors":["core-metrics-extractor/core-metrics-extractor"]} [e2e-llm-inference-service] {"level":"info","ts":1783974885.842431,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8424463,"logger":"setup","caller":"runner/runner.go:833","msg":"Experimental Flow Control layer is disabled, using legacy admission control"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.842543,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783974885.842583,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8426332,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8430862,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783974885.843556,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","source":"kind source: *v1.InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8439238,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8442926,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.844418,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8445265,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.844913,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"pod","controllerGroup":"","controllerKind":"Pod","source":"kind source: *v1.Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.845412,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8455462,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8490553,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8507533,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.8520262,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.9154944,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.9446726,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.9446988,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783974885.9446695,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.944781,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783974885.9448135,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-router-managed-test-llm-5b1e8f15-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-router-managed-test-llm-5b1e8f15-inference-pool","reconcileID":"dec13db3-a674-4720-a9d9-a8269c8231da"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.944858,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783974885.9448707,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783974886.0458179,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783974886.0458431,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783974895.6098292,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk","reconcileID":"d0eac448-1c7d-4a0b-bb20-9f1da9f9f5f7"} [e2e-llm-inference-service] {"level":"info","ts":1783974899.4119635,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-router-managed-test-llm-5b1e8f15-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-router-managed-test-llm-5b1e8f15-inference-pool","reconcileID":"205ab9a7-6a33-43c7-9d9e-f4b2d3916453"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: fc809065-3bfb-4b52-9e8f-3bb4b9d8ace8 [e2e-llm-inference-service] resourceVersion: '24653' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.133.0.31 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] uid: 3f5aa080-a384-4f87-a711-b5a1983fc6de [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 05509365-e2eb-459e-b173-82d4a364b1e6 [e2e-llm-inference-service] resourceVersion: '24402' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.132.0.51 [e2e-llm-inference-service] nodeName: ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] uid: d69340b3-bb53-4014-9a89-1309872a9aa1 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] generateName: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: d69340b3-bb53-4014-9a89-1309872a9aa1 [e2e-llm-inference-service] resourceVersion: '24401' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 64df7bddb4 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.132.0.51/23"],"mac_address":"0a:58:0a:84:00:33","gateway_ips":["10.132.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.132.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.132.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.132.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.132.0.1"}],"ip_address":"10.132.0.51/23","gateway_ip":"10.132.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.132.0.51\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:84:00:33\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 [e2e-llm-inference-service] uid: d34f8967-dc0f-4a62-bff5-0c3de490bff2 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-139-183 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d34f8967-dc0f-4a62-bff5-0c3de490bff2"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.132.0.51"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kube-api-access-9dfht [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-inference-sim:v0.8.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/llm-d-inference-sim [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --model [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --mode [e2e-llm-inference-service] - random [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kube-api-access-9dfht [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] hostIP: 10.0.139.183 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.139.183 [e2e-llm-inference-service] podIP: 10.132.0.51 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.132.0.51 [e2e-llm-inference-service] startTime: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-inference-sim:v0.8.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-inference-sim@sha256:bab162bd25e2ed8b15022387cdb223023aeb33be49476af9f0115c0398fb8ff5 [e2e-llm-inference-service] containerID: cri-o://a5138d7a4092af13244ebfc3b9846f1e97388fee44fe561c293f9f74667e22dd [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-9dfht [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] generateName: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3f5aa080-a384-4f87-a711-b5a1983fc6de [e2e-llm-inference-service] resourceVersion: '24650' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 749449dbc8 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.31/23"],"mac_address":"0a:58:0a:85:00:1f","gateway_ips":["10.133.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.133.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.133.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.133.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.133.0.1"}],"ip_address":"10.133.0.31/23","gateway_ip":"10.133.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.133.0.31\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:1f\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 [e2e-llm-inference-service] uid: 994cf79f-9bba-49d9-b085-27db1a1e0a6e [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-147 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"994cf79f-9bba-49d9-b085-27db1a1e0a6e"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.31"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-4l4mg [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-4l4mg [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa-dockercfg-r95rb [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:46Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] hostIP: 10.0.140.147 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.147 [e2e-llm-inference-service] podIP: 10.133.0.31 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.31 [e2e-llm-inference-service] startTime: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://8735d1d7810170f33387014de06f82a4708cb83fe7e006709b0db8aae3138acd [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-4l4mg [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 61ecb4fc-e76f-4dc8-989a-1bf0d01ccd04 [e2e-llm-inference-service] resourceVersion: '24161' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa-dockercfg-r95rb [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: openshift.io/image-registry-pull-secrets_service-account-controller [e2e-llm-inference-service] operation: Apply [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"llmisvc-router-managed-test-llm-5b1e8f15-epp-sa-dockercfg-r95rb"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-559w9"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa-dockercfg-r95rb [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa-dockercfg-r95rb [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ecf4ef78-9e0b-40b2-87b5-6c8568f40f5f [e2e-llm-inference-service] resourceVersion: '24175' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.177.215 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.177.215 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 1793d0a1-9917-4f08-bf66-45df1209c125 [e2e-llm-inference-service] resourceVersion: '24142' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.166.99 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.166.99 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 62b8c4d0-e861-4368-b483-e12348518c37 [e2e-llm-inference-service] resourceVersion: '24405' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-inference-sim:v0.8.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/llm-d-inference-sim [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --model [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --mode [e2e-llm-inference-service] - random [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: fa3389a3-5687-41bf-bad4-7bfd8de4ef74 [e2e-llm-inference-service] resourceVersion: '24655' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: Recreate [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: d34f8967-dc0f-4a62-bff5-0c3de490bff2 [e2e-llm-inference-service] resourceVersion: '24404' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 64df7bddb4 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] uid: 62b8c4d0-e861-4368-b483-e12348518c37 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"62b8c4d0-e861-4368-b483-e12348518c37"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 64df7bddb4 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 64df7bddb4 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-inference-sim:v0.8.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/llm-d-inference-sim [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --model [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --mode [e2e-llm-inference-service] - random [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 994cf79f-9bba-49d9-b085-27db1a1e0a6e [e2e-llm-inference-service] resourceVersion: '24654' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 749449dbc8 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] uid: fa3389a3-5687-41bf-bad4-7bfd8de4ef74 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"fa3389a3-5687-41bf-bad4-7bfd8de4ef74"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 749449dbc8 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 749449dbc8 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 01244682-f7cf-4922-a8e8-80cd08ce63d9 [e2e-llm-inference-service] resourceVersion: '24169' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4d32800c-f17a-42a9-a1c9-b13d4b80be7f [e2e-llm-inference-service] resourceVersion: '24166' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-service-h5vhd [e2e-llm-inference-service] generateName: llmisvc-router-managed-test-llm-5b1e8f15-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 86aa9e88-21b6-4fc8-a8f3-89a10d65d71c [e2e-llm-inference-service] resourceVersion: '24652' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] uid: ecf4ef78-9e0b-40b2-87b5-6c8568f40f5f [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:35:17Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecf4ef78-9e0b-40b2-87b5-6c8568f40f5f"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.133.0.31 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] uid: 3f5aa080-a384-4f87-a711-b5a1983fc6de [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-szm5mb [e2e-llm-inference-service] generateName: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: aec59b4b-8d2e-4169-9bc5-7ae92a6fcc5b [e2e-llm-inference-service] resourceVersion: '24403' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:44Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] uid: 1793d0a1-9917-4f08-bf66-45df1209c125 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:55Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1793d0a1-9917-4f08-bf66-45df1209c125"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.132.0.51 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] uid: d69340b3-bb53-4014-9a89-1309872a9aa1 [e2e-llm-inference-service] nodeName: ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 01244682-f7cf-4922-a8e8-80cd08ce63d9 [e2e-llm-inference-service] resourceVersion: '24169' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4d32800c-f17a-42a9-a1c9-b13d4b80be7f [e2e-llm-inference-service] resourceVersion: '24166' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:35:00Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24464' [e2e-llm-inference-service] uid: c9cc7152-8d80-4f27-a524-2a746f5276a6 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:35:00Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24464' [e2e-llm-inference-service] uid: c9cc7152-8d80-4f27-a524-2a746f5276a6 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:endpointPickerRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:number: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:matchLabels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPorts: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24445' [e2e-llm-inference-service] uid: 4c4ec7ac-743e-4c48-b235-dc58bd26a046 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPorts: [e2e-llm-inference-service] - number: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] message: Referenced by an HTTPRoute accepted by the parentRef Gateway [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:47Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:rules: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:authentication: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:public: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:anonymous: {} [e2e-llm-inference-service] f:credentials: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:overrides: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fairness: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:response: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:success: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:headers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:x-gateway-inference-fairness-id: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:x-gateway-inference-objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:targetRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:47Z' [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Accepted"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Enforced"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:34:48Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24324' [e2e-llm-inference-service] uid: 480156a5-0c42-4253-8345-3b494e3b4fb3 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:47Z' [e2e-llm-inference-service] message: AuthPolicy has been accepted [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:34:48Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24201' [e2e-llm-inference-service] uid: 181f4d63-2210-47f5-a9b7-8899c2147d4f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-5b1e8f15-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-5b1e8f15-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24455' [e2e-llm-inference-service] uid: c5a16082-9d22-4818-a366-15e22d45b8c8 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-5b1e8f15-inference--ip-33d4275d.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24213' [e2e-llm-inference-service] uid: bc5f3714-e09c-4172-bff6-8a4686c5afb9 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24201' [e2e-llm-inference-service] uid: 181f4d63-2210-47f5-a9b7-8899c2147d4f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-5b1e8f15-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-5b1e8f15-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24455' [e2e-llm-inference-service] uid: c5a16082-9d22-4818-a366-15e22d45b8c8 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-5b1e8f15-inference--ip-33d4275d.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24213' [e2e-llm-inference-service] uid: bc5f3714-e09c-4172-bff6-8a4686c5afb9 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24201' [e2e-llm-inference-service] uid: 181f4d63-2210-47f5-a9b7-8899c2147d4f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-5b1e8f15-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-5b1e8f15-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:59Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24455' [e2e-llm-inference-service] uid: c5a16082-9d22-4818-a366-15e22d45b8c8 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-5b1e8f15-inference--ip-33d4275d.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24213' [e2e-llm-inference-service] uid: bc5f3714-e09c-4172-bff6-8a4686c5afb9 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"9eef9a37-e255-4d1c-932d-f27cbe7659a4"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:extensionRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:portNumber: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPortNumber: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:34:45Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] uid: 9eef9a37-e255-4d1c-932d-f27cbe7659a4 [e2e-llm-inference-service] resourceVersion: '24184' [e2e-llm-inference-service] uid: 0fb1c84a-33de-46e3-a146-a44b024d547e [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:53:42Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 64df7bddb4 [e2e-llm-inference-service] timestamp: '2026-07-13T20:53:32Z' [e2e-llm-inference-service] window: 21.213s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 17420072n [e2e-llm-inference-service] memory: 25088Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:53:42Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-5b1e8f15 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 749449dbc8 [e2e-llm-inference-service] timestamp: '2026-07-13T20:53:22Z' [e2e-llm-inference-service] window: 11.205s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 9425613n [e2e-llm-inference-service] memory: 30256Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_inference_service] [2026-07-13T20:53:42.585836] end - ❌ 1151.159s: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] _ test_llm_inference_service[router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] _ [e2e-llm-inference-service] [gw0] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-custom-route-timeout', 'scheduler-managed', 'workload-single-cpu', 'model-fb-opt-125m'], p... {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] > wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:812: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...m-rout-4c4b9f6e'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}, 900) [e2e-llm-inference-service] kwargs = {}, func_name = 'wait_for_llm_isvc_ready' [e2e-llm-inference-service] timestamp_start = '2026-07-13T20:56:47.463858', start_time = 1783976207.464244 [e2e-llm-inference-service] duration = 900.760556936264, timestamp_end = '2026-07-13T21:11:48.224804' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] given = {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security....-custom-rout-4c4b9f6e'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None} [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] given: V1alpha1LLMInferenceService, [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] return True [e2e-llm-inference-service] [e2e-llm-inference-service] > return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1204: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fb7b5e7d080> [e2e-llm-inference-service] timeout = 900, interval = 1.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] > raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] E AssertionError: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1199: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-custom-route-timeout-cus-3c5d4892 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-custom-route-timeout-cus-3c5d4892 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-custom-route-timeout-cus-3c5d4892 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig scheduler-managed-custom-route-c8a904b6 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig scheduler-managed-custom-route-c8a904b6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig scheduler-managed-custom-route-c8a904b6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-single-cpu-custom-rout-4c4b9f6e in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-single-cpu-custom-rout-4c4b9f6e [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-single-cpu-custom-rout-4c4b9f6e [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-custom-route-928a8601 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-custom-route-928a8601 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-custom-route-928a8601 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-13T20:56:47.369692] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-custom-route-timeout', 'scheduler-managed', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KServe is a', service_name='custom-route-timeout-test', endpoint='/v1/completions', max_tokens=20, payload_formatter=None, response_assertion=, wait_timeout=900, response_timeout=60, extra_headers=None, url_getter=None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-cus-3c5d4892'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-c8a904b6'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-custom-rout-4c4b9f6e'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-13T20:56:47.383026] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-cus-3c5d4892'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-c8a904b6'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-custom-rout-4c4b9f6e'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-13T20:56:47.463689] end - ✅ in 0.080s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-13T20:56:47.463858] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-cus-3c5d4892'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-c8a904b6'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-custom-rout-4c4b9f6e'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 5: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:52:49Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 3, "llminferenceservices": 4, "authpolicies": 2} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:57:01Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'message': 'Inference Pool kserve-ci-e2e-test/custom-route-timeout-test-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 6: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:52:49Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 4, "llminferenceservices": 4, "authpolicies": 3} [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 7: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:52:49Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 4, "llminferenceservices": 4, "authpolicies": 3} [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_llm_isvc_ready] [2026-07-13T21:11:48.224804] end - ❌ 900.761s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] ❌ ERROR: Failed to call llm inference service custom-route-timeout-test: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'custom-route-timeout-test' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService custom-route-timeout-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:47Z' [e2e-llm-inference-service] finalizers: [e2e-llm-inference-service] - serving.kserve.io/llmisvc-finalizer [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:security.opendatahub.io/enable-auth: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:baseRefs: {} [e2e-llm-inference-service] manager: OpenAPI-Generator [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:56:47Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:finalizers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] v:"serving.kserve.io/llmisvc-finalizer": {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:56:47Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '39989' [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-custom-route-timeout-cus-3c5d4892 [e2e-llm-inference-service] - name: scheduler-managed-custom-route-c8a904b6 [e2e-llm-inference-service] - name: workload-single-cpu-custom-rout-4c4b9f6e [e2e-llm-inference-service] - name: model-fb-opt-125m-custom-route-928a8601 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-test [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/custom-route-timeout-test [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:09Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:09Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:09Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:01Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:09Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:09Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-test [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-8846b76cf-l9hlg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:51:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-8846b76cf-l9hlg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-74b57f8bdb from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-8846b76cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-5dcdbd74bf-fbc4n to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 3.077s (3.077s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-5b85d8b48f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-5dcdbd74bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-6997b7c89-lfxgj to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:19 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 26.952s (26.952s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-6997b7c89-lfxgj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:17 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.541s (1.541s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-5d9b98884c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-6997b7c89 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:35 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-58774698bc-xlk69 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-58774698bc-xlk69 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-f56b95d46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-58774698bc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:57 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.26/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.145s (1.145s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.559s (1.559s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.36:8000/health": dial tcp 10.133.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.36:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:21 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:22 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:53:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:45 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:41 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:35:17 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.132.0.50:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:35 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:24 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.274s (1.274s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-577ddf46cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.55/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 5.991s (5.991s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.588s (1.588s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 29.738s (29.738s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:41 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-7d9475576c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7dbc9b54cf from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:02 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-k7wrt to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-lzjqc to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:55 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.49:15021/healthz/ready": dial tcp 10.132.0.49:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-c7gts to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.54/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:28 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-w858r to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.46:15021/healthz/ready": context deadline exceeded (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-znbzj to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-799f46c59b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-54c47cdfc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-799f46c59b from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-54c47cdfc7 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test GatewayAuthBootstrap Warning ReconcileError Failed to delete gateway PodMonitor: failed to delete PodMonitor: podmonitors.monitoring.coreos.com "router-gateway-1-metrics" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod custom-route-timeout-test-kserve-58774698bc-xlk69 (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 20:56:59.324 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 20:56:59.324 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_24e6c492-0f27-4e27-815d-f0ae9dff7497'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/5HHJ6px3_ZRDOG3OxNZMhuycwOk=.a591333512516f58bf2002045dece909a0ccdb8b.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_c9a17d4d-9544-41de-a721-efa7d7a4f724'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Xn7B-BWUGOee2Y6hCZtEhtFu4BE=.38c05904caf6e5b9f04ecda5c973d77e6c1da151.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_1219b0d8-3b61-49b8-b7c1-760da5e5fe0f'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_9dc640fa-77a9-4098-9e11-9a7b14211764'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/gPcsVCQDYDHk-_n0G9uADl7PXIM=.61c60ec52ed43038fff0fbbd68b080c94b0d94b4c8458dbd65965f9b17631c89.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_72d6363e-412a-48ae-a79a-199e6cc83e3c'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_832f3800-ee7b-4c86-8d92-24046ad50c22'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_dcf8e2c6-a91b-4cae-a2cb-1d2dea83531a'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Q1p2l2BzM1m6P5jKvr8WTq1TUio=.2d74da6615135c58cf3cf9ad4cb11e7c613ff9e55fe658a47ab83b6c8d1174a9.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_bf548f92-a2e7-487d-bfdd-7c7026be6446'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_c9af9ccb-28fc-4f83-940c-197ecbcdd4b1'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:204 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': '22d44e46-c8aa-4876-a3a5-461945128d40', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Mon, 13 Jul 2026 21:11:48 GMT', 'Content-Length': '231'}) [e2e-llm-inference-service] HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"container \"main\" in pod \"custom-route-timeout-test-kserve-58774698bc-xlk69\" is waiting to start: PodInitializing","reason":"BadRequest","code":400} [e2e-llm-inference-service] [e2e-llm-inference-service] ) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 20:56:59.597 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 20:56:59.597 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-13 20:56:59.597 1 storage.initializer INFO [kserve_storage.py:download():169] Allow patterns: ['tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json', 'vocab.json', 'merges.txt', 'config.json', 'generation_config.json'] [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_56b24eec-c12d-4216-9e23-35391ecedd7a'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_8b1d2172-7470-4429-9960-b2ac770e5401'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_b19d9e51-eba1-4c9e-ae8f-62329ba12238'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_3bff0ec1-0f28-4440-b52b-a7c68481d6db'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_32fced40-e72b-4f8e-97f7-029be0e8e14e'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_93330cb0-e272-4957-9585-fb6facd77c59'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-13 20:56:59.972 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-13 20:56:59.972 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.3755417200000011 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783976221.106525,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783976221.1074135,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"custom-route-timeout-test-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1076376,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1084006,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1084394,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1084507,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1087146,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"single-profile-handler","parameters":null,"type":"single-profile-handler"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1236446,"logger":"utilization-detector/utilization-detector","caller":"utilization/detector.go:83","msg":"Creating new UtilizationDetector","queueDepthThreshold":5,"kvCacheUtilThreshold":0.8,"metricsStalenessThreshold":"200ms","headroom":0} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1237419,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1237733,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1238108,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.123879,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton-tensorrt-llm","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1239002,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1239614,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: single-profile-handler, Type: single-profile-handler} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.124013,"caller":"approximateprefix/plugin.go:88","msg":"Prefix DataProducer initialized","config":{"autoTune":true,"blockSizeTokens":16,"blockSize":0,"maxPrefixBlocksToMatch":2048,"maxPrefixTokensToMatch":131072,"lruCapacityPerServer":31250}} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1241002,"caller":"approximateprefix/plugin.go:111","msg":"WARNING: configured blockSizeTokens is below the recommended minimum, overriding it.","blockSizeTokens":16,"minimum":64,"issue":"https://github.com/llm-d/llm-d-router/issues/1158"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1241283,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"approx-prefix-cache-producer/approx-prefix-cache-producer","dataKey":"PrefixCacheMatchInfoDataKey/approx-prefix-cache-producer","consumer":"prefix-cache-scorer"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1241617,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"token-producer/token-producer","dataKey":"TokenizedPrompt/token-producer","consumer":"approx-prefix-cache-producer"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1242342,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1242442,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0004cb680 DataConfig:{Sources:[{Plugin:0xc0004c8cf0 Extractors:[0xc0004cb880]}]} FlowControlConfig: ParserRegistry:0xc0004cbd00}"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1392913,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1393256,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1393573,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1393626,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.139367,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1393719,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.139376,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1393805,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1393847,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.13939,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1393943,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1393986,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.139406,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.139411,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1394367,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1394455,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1394596,"logger":"setup","caller":"datalayer/runtime.go:147","msg":"Source configured","source":"metrics-data-source","extractors":["core-metrics-extractor/core-metrics-extractor"]} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1394744,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783976221.139484,"logger":"setup","caller":"runner/runner.go:833","msg":"Experimental Flow Control layer is disabled, using legacy admission control"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1395636,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783976221.139579,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1396098,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1397843,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1398969,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1400325,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","source":"kind source: *v1.InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1400864,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1401193,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"pod","controllerGroup":"","controllerKind":"Pod","source":"kind source: *v1.Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1400578,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.14005,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1407506,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1408281,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1443524,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1443682,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.144442,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.1464498,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.2405765,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.2406158,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783976221.2415643,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.2415912,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783976221.2415924,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.241608,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783976221.241732,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"custom-route-timeout-test-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"custom-route-timeout-test-inference-pool","reconcileID":"4bebc638-fde8-45e9-94ee-d806c994f2af"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.3417456,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783976221.3417838,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783976227.1229436,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"custom-route-timeout-test-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"custom-route-timeout-test-inference-pool","reconcileID":"f4b38f74-8071-41f6-8487-c5b90773d7a9"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 154412ac-507f-40a6-8b26-2e86c21b5bc4 [e2e-llm-inference-service] resourceVersion: '39982' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.134.0.32 [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b [e2e-llm-inference-service] uid: 35e99137-97c3-4a26-9224-deb2b99e612d [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 55315c19-3370-408a-8b29-c3db41777d34 [e2e-llm-inference-service] resourceVersion: '39554' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - notReadyAddresses: [e2e-llm-inference-service] - ip: 10.133.0.37 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-58774698bc-xlk69 [e2e-llm-inference-service] uid: f22d919c-02a5-4450-8878-10df1fa4d2f3 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-58774698bc-xlk69 [e2e-llm-inference-service] generateName: custom-route-timeout-test-kserve-58774698bc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f22d919c-02a5-4450-8878-10df1fa4d2f3 [e2e-llm-inference-service] resourceVersion: '39553' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 58774698bc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.37/23"],"mac_address":"0a:58:0a:85:00:25","gateway_ips":["10.133.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.133.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.133.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.133.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.133.0.1"}],"ip_address":"10.133.0.37/23","gateway_ip":"10.133.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.133.0.37\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:25\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-58774698bc [e2e-llm-inference-service] uid: 5b09b62d-41b5-4d46-91ff-23073cb81e82 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-147 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"5b09b62d-41b5-4d46-91ff-23073cb81e82"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.37"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-ggsgl [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-ggsgl [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\" \\\n --port 8000\ [e2e-llm-inference-service] \ \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh\ [e2e-llm-inference-service] \ \\\n --ssl-certfile /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-ggsgl [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Pending [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] reason: ContainersNotInitialized [e2e-llm-inference-service] message: 'containers with incomplete status: [storage-initializer]' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [main]' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [main]' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] hostIP: 10.0.140.147 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.147 [e2e-llm-inference-service] podIP: 10.133.0.37 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.37 [e2e-llm-inference-service] startTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://4f7726bdfeea0209816ff60a162cc223af6b0a6c6eab61200e345f9a106ea225 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-ggsgl [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] waiting: [e2e-llm-inference-service] reason: PodInitializing [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: '' [e2e-llm-inference-service] started: false [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-ggsgl [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b [e2e-llm-inference-service] generateName: custom-route-timeout-test-kserve-router-scheduler-f56b95d46- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 35e99137-97c3-4a26-9224-deb2b99e612d [e2e-llm-inference-service] resourceVersion: '39981' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: f56b95d46 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.32/23"],"mac_address":"0a:58:0a:86:00:20","gateway_ips":["10.134.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.134.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.134.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.134.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.134.0.1"}],"ip_address":"10.134.0.32/23","gateway_ip":"10.134.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.134.0.32\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:20\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-f56b95d46 [e2e-llm-inference-service] uid: a1ee5367-bf0b-4d3b-92cc-c78b8803b6d0 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-139 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"a1ee5367-bf0b-4d3b-92cc-c78b8803b6d0"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.32"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-bv78l [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-bv78l [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - custom-route-timeout-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-bv78l [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] serviceAccount: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: custom-route-timeout-test-epp-sa-dockercfg-79jbn [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:57:00Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:57:01Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] hostIP: 10.0.140.139 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.139 [e2e-llm-inference-service] podIP: 10.134.0.32 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.32 [e2e-llm-inference-service] startTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] finishedAt: '2026-07-13T20:57:00Z' [e2e-llm-inference-service] containerID: cri-o://b070ab1b9ea605ff81582d26f2524a2d4eaa1400ab0f487c2d395b3229c2be77 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://b070ab1b9ea605ff81582d26f2524a2d4eaa1400ab0f487c2d395b3229c2be77 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-bv78l [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T20:57:01Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://e53267cdd308a0f0850e2689d51c4d098273efc1ee574eaf6c5b154b63fd9c75 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-bv78l [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: fa029c6b-1307-4674-8a0f-011766ef6d2a [e2e-llm-inference-service] resourceVersion: '39478' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: custom-route-timeout-test-epp-sa-dockercfg-79jbn [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: openshift.io/image-registry-pull-secrets_service-account-controller [e2e-llm-inference-service] operation: Apply [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"custom-route-timeout-test-epp-sa-dockercfg-79jbn"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-559w9"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: custom-route-timeout-test-epp-sa-dockercfg-79jbn [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: custom-route-timeout-test-epp-sa-dockercfg-79jbn [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 28c1d0ae-15c1-49f5-bcb3-54ad8ac5e86a [e2e-llm-inference-service] resourceVersion: '39507' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.178.192 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.178.192 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 0037da8f-7c2e-4bd6-89c5-1807dbc622fe [e2e-llm-inference-service] resourceVersion: '39469' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.41.158 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.41.158 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 5fa6010b-f8fc-428f-8adf-82007c093577 [e2e-llm-inference-service] resourceVersion: '45689' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:06:59Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:unavailableReplicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] unavailableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:06:59Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:06:59Z' [e2e-llm-inference-service] reason: ProgressDeadlineExceeded [e2e-llm-inference-service] message: ReplicaSet "custom-route-timeout-test-kserve-58774698bc" has timed out [e2e-llm-inference-service] progressing. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4e9602b8-6a8d-4ca1-9c9e-e0854d29afc2 [e2e-llm-inference-service] resourceVersion: '39985' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - custom-route-timeout-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] serviceAccount: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: Recreate [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "custom-route-timeout-test-kserve-router-scheduler-f56b95d46" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-58774698bc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 5b09b62d-41b5-4d46-91ff-23073cb81e82 [e2e-llm-inference-service] resourceVersion: '39490' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 58774698bc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: custom-route-timeout-test-kserve [e2e-llm-inference-service] uid: 5fa6010b-f8fc-428f-8adf-82007c093577 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"5fa6010b-f8fc-428f-8adf-82007c093577"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 58774698bc [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 58774698bc [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-f56b95d46 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: a1ee5367-bf0b-4d3b-92cc-c78b8803b6d0 [e2e-llm-inference-service] resourceVersion: '39984' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: f56b95d46 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] uid: 4e9602b8-6a8d-4ca1-9c9e-e0854d29afc2 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"4e9602b8-6a8d-4ca1-9c9e-e0854d29afc2"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: f56b95d46 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: f56b95d46 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - custom-route-timeout-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] serviceAccount: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: fc3271e8-d0e8-4969-bc18-ac1d1c1996c1 [e2e-llm-inference-service] resourceVersion: '39498' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: custom-route-timeout-test-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ffcc87a1-7657-4abe-9a5e-9da261534999 [e2e-llm-inference-service] resourceVersion: '39495' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service-4ctv8 [e2e-llm-inference-service] generateName: custom-route-timeout-test-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: a566d791-034b-4db3-b8ad-0e060e89bc71 [e2e-llm-inference-service] resourceVersion: '39983' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] uid: 28c1d0ae-15c1-49f5-bcb3-54ad8ac5e86a [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:57:33Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"28c1d0ae-15c1-49f5-bcb3-54ad8ac5e86a"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.134.0.32 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b [e2e-llm-inference-service] uid: 35e99137-97c3-4a26-9224-deb2b99e612d [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc-d6dn5 [e2e-llm-inference-service] generateName: custom-route-timeout-test-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 40df44e5-7ab9-4225-a7d4-bbef0522e5f0 [e2e-llm-inference-service] resourceVersion: '39555' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] uid: 0037da8f-7c2e-4bd6-89c5-1807dbc622fe [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"0037da8f-7c2e-4bd6-89c5-1807dbc622fe"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.133.0.37 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] serving: false [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-58774698bc-xlk69 [e2e-llm-inference-service] uid: f22d919c-02a5-4450-8878-10df1fa4d2f3 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: fc3271e8-d0e8-4969-bc18-ac1d1c1996c1 [e2e-llm-inference-service] resourceVersion: '39498' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:custom-route-timeout-test-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ffcc87a1-7657-4abe-9a5e-9da261534999 [e2e-llm-inference-service] resourceVersion: '39495' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39707' [e2e-llm-inference-service] uid: 8d56e6e8-1c76-443b-9a62-a00be6ed5a1b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/custom-route-timeout-test-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39707' [e2e-llm-inference-service] uid: 8d56e6e8-1c76-443b-9a62-a00be6ed5a1b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/custom-route-timeout-test-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:endpointPickerRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:number: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:matchLabels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPorts: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39691' [e2e-llm-inference-service] uid: c8f980ef-2748-4fc4-9ab0-138ab1771396 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPorts: [e2e-llm-inference-service] - number: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] message: Referenced by an HTTPRoute accepted by the parentRef Gateway [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:57:01Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:rules: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:authentication: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:public: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:anonymous: {} [e2e-llm-inference-service] f:credentials: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:overrides: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fairness: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:response: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:success: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:headers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:x-gateway-inference-fairness-id: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:x-gateway-inference-objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:targetRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:57:01Z' [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Accepted"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Enforced"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:57:03Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39639' [e2e-llm-inference-service] uid: 32616897-8241-4dd0-aee4-3b66744d3ece [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:02Z' [e2e-llm-inference-service] message: AuthPolicy has been accepted [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:57:03Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39541' [e2e-llm-inference-service] uid: d89c416f-d9ce-45fb-af4e-658404a6df0b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39697' [e2e-llm-inference-service] uid: 165a668c-d1e6-4ba0-aef9-44206a087e5e [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-inference-pool-ip-45342e47.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39572' [e2e-llm-inference-service] uid: b04fd3ca-d53e-47fe-9c6c-f97876204c35 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39541' [e2e-llm-inference-service] uid: d89c416f-d9ce-45fb-af4e-658404a6df0b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39697' [e2e-llm-inference-service] uid: 165a668c-d1e6-4ba0-aef9-44206a087e5e [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-inference-pool-ip-45342e47.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39572' [e2e-llm-inference-service] uid: b04fd3ca-d53e-47fe-9c6c-f97876204c35 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39541' [e2e-llm-inference-service] uid: d89c416f-d9ce-45fb-af4e-658404a6df0b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:57:07Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39697' [e2e-llm-inference-service] uid: 165a668c-d1e6-4ba0-aef9-44206a087e5e [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-inference-pool-ip-45342e47.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:56:59Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39572' [e2e-llm-inference-service] uid: b04fd3ca-d53e-47fe-9c6c-f97876204c35 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"018d0422-4827-4189-996f-6dc44f3965c3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:extensionRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:portNumber: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPortNumber: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:56:58Z' [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 018d0422-4827-4189-996f-6dc44f3965c3 [e2e-llm-inference-service] resourceVersion: '39520' [e2e-llm-inference-service] uid: b1580a90-976b-486c-a8c1-61a6e5bccc45 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:11:49Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: f56b95d46 [e2e-llm-inference-service] timestamp: '2026-07-13T21:11:31Z' [e2e-llm-inference-service] window: 15.987s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 529054n [e2e-llm-inference-service] memory: 22764Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_inference_service] [2026-07-13T21:11:49.623218] end - ❌ 902.253s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:01Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:57:33Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:57:09Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] _____ test_llm_inference_service[router-managed-workload-llmd-simulator2] ______ [e2e-llm-inference-service] [gw1] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-managed', 'workload-llmd-simulator'], prompt='What is KServe?', service_name='llmisvc-rout... {'name': 'workload-llmd-simulator-llmisvc-53a6ad30'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] print(f"{prefix} Waiting for model response from {service_name}") [e2e-llm-inference-service] > wait_for_model_response( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] test_case, [e2e-llm-inference-service] test_case.wait_timeout, [e2e-llm-inference-service] extra_headers=test_case.extra_headers, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:816: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, TestCase(base_refs=['router-managed', 'workload-llm... {'name': 'workload-llmd-simulator-llmisvc-53a6ad30'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900) [e2e-llm-inference-service] kwargs = {'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}} [e2e-llm-inference-service] func_name = 'wait_for_model_response' [e2e-llm-inference-service] timestamp_start = '2026-07-13T20:54:45.134725', start_time = 1783976085.1351664 [e2e-llm-inference-service] duration = 1102.556923866272, timestamp_end = '2026-07-13T21:13:07.692092' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-managed', 'workload-llmd-simulator'], prompt='What is KServe?', service_name='llmisvc-rout... {'name': 'workload-llmd-simulator-llmisvc-53a6ad30'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] extra_headers = {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_model_response( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] test_case: TestCase, # noqa: F811 [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] extra_headers: Optional[Dict[str, str]] = None, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Model response is {response.status_code}: {response.text[:500]}") [e2e-llm-inference-service] [e2e-llm-inference-service] if 200 <= response.status_code < 300: [e2e-llm-inference-service] return response [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Service returned {response.status_code}: {response.text}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] > response = wait_for(get_successful_response, timeout=timeout_seconds, interval=5.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1119: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .get_successful_response at 0x7f8e716045e0> [e2e-llm-inference-service] timeout = 900, interval = 5.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Model response is {response.status_code}: {response.text[:500]}") [e2e-llm-inference-service] [e2e-llm-inference-service] if 200 <= response.status_code < 300: [e2e-llm-inference-service] return response [e2e-llm-inference-service] > raise AssertionError( [e2e-llm-inference-service] f"Service returned {response.status_code}: {response.text}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] E AssertionError: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1115: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-llmisvc-router-m-d2b356d9 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-router-m-d2b356d9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-router-m-d2b356d9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-53a6ad30 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-53a6ad30 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-53a6ad30 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-llmisvc-model-qw-a8136937 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-model-qw-a8136937 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-model-qw-a8136937 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-54bae102 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-54bae102 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-llmd-simulator-llmisvc-54bae102 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-qwen2-5-0-5b-llmisvc-mode-21bdc061 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-qwen2-5-0-5b-llmisvc-mode-21bdc061 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-qwen2-5-0-5b-llmisvc-mode-21bdc061 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-13T20:53:43.024507] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-llmd-simulator'], prompt='What is KServe?', service_name='llmisvc-router-managed-test-llm-4b931143', endpoint='/v1/chat/completions', max_tokens=20, payload_formatter=, response_assertion=.response_assertion at 0x7f8e726b4860>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[TestCase(base_refs=['router-managed', 'workload-llmd-simulator', 'model-qwen2.5-0.5b'], prompt='What is KServe?', service_name='llmisvc-model-qwen2-5-0-5b-rout-4f8c0978', endpoint='/v1/chat/completions', max_tokens=20, payload_formatter=, response_assertion=.response_assertion at 0x7f8e726b4900>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/Qwen/Qwen2.5-0.5B-Instruct'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-qwen2-5-0-5b-rout-4f8c0978', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-qw-a8136937'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-54bae102'}, [e2e-llm-inference-service] {'name': 'model-qwen2-5-0-5b-llmisvc-mode-21bdc061'}]}, [e2e-llm-inference-service] 'status': None}, model_name='Qwen/Qwen2.5-0.5B-Instruct')], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-4b931143', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-d2b356d9'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-53a6ad30'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-13T20:53:43.037039] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-4b931143', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-d2b356d9'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-53a6ad30'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-13T20:53:43.089984] end - ✅ in 0.053s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-13T20:53:43.090052] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-4b931143', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-d2b356d9'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-53a6ad30'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:54:15Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:54:15Z', 'message': 'Inference Pool kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:54:15Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:54:15Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:54:15Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:54:15Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:54:15Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:54:15Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T20:54:33Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T20:54:33Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T20:54:33Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:54:15Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T20:54:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T20:54:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T20:54:33Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T20:54:33Z', 'status': 'True', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [wait_for_llm_isvc_ready] [2026-07-13T20:54:45.134570] end - ✅ in 62.044s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_model_response] [2026-07-13T20:54:45.134725] start - args=(, TestCase(base_refs=['router-managed', 'workload-llmd-simulator'], prompt='What is KServe?', service_name='llmisvc-router-managed-test-llm-4b931143', endpoint='/v1/chat/completions', max_tokens=20, payload_formatter=, response_assertion=.response_assertion at 0x7f8e726b4860>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[TestCase(base_refs=['router-managed', 'workload-llmd-simulator', 'model-qwen2.5-0.5b'], prompt='What is KServe?', service_name='llmisvc-model-qwen2-5-0-5b-rout-4f8c0978', endpoint='/v1/chat/completions', max_tokens=20, payload_formatter=, response_assertion=.response_assertion at 0x7f8e726b4900>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/Qwen/Qwen2.5-0.5B-Instruct'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-qwen2-5-0-5b-rout-4f8c0978', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-qw-a8136937'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-54bae102'}, [e2e-llm-inference-service] {'name': 'model-qwen2-5-0-5b-llmisvc-mode-21bdc061'}]}, [e2e-llm-inference-service] 'status': None}, model_name='Qwen/Qwen2.5-0.5B-Instruct')], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-4b931143', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-d2b356d9'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-53a6ad30'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900), kwargs={'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T20:54:45.135173] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-4b931143', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-d2b356d9'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-53a6ad30'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-router-managed-test-llm-4b931143: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T20:54:45.190951] end - ✅ in 0.056s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/chat/completions with payload {'model': 'facebook/opt-125m', 'messages': [{'role': 'user', 'content': 'What is KServe?'}], 'max_tokens': 20} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:00:54.339285] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-4b931143', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-d2b356d9'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-53a6ad30'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-router-managed-test-llm-4b931143: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:00:54.376600] end - ✅ in 0.037s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/chat/completions with payload {'model': 'facebook/opt-125m', 'messages': [{'role': 'user', 'content': 'What is KServe?'}], 'max_tokens': 20} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:07:03.512320] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-router-managed-test-llm-4b931143', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-router-m-d2b356d9'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-llmisvc-53a6ad30'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-router-managed-test-llm-4b931143: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:07:03.540652] end - ✅ in 0.028s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/chat/completions with payload {'model': 'facebook/opt-125m', 'messages': [{'role': 'user', 'content': 'What is KServe?'}], 'max_tokens': 20} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_model_response] [2026-07-13T21:13:07.692092] end - ❌ 1102.557s: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-managed-workload-llmd-simulator] ❌ ERROR: Failed to call llm inference service llmisvc-router-managed-test-llm-4b931143: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'llmisvc-router-managed-test-llm-4b931143' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:53:43Z' [e2e-llm-inference-service] finalizers: [e2e-llm-inference-service] - serving.kserve.io/llmisvc-finalizer [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:security.opendatahub.io/enable-auth: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:baseRefs: {} [e2e-llm-inference-service] manager: OpenAPI-Generator [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:53:43Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:finalizers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] v:"serving.kserve.io/llmisvc-finalizer": {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:53:43Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:54:45Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '37991' [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-managed-llmisvc-router-m-d2b356d9 [e2e-llm-inference-service] - name: workload-llmd-simulator-llmisvc-53a6ad30 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external-model-routing [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] - name: gateway-internal-model-routing [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/ [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:33Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:33Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:33Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:15Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:33Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-8846b76cf-l9hlg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:51:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-8846b76cf-l9hlg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-74b57f8bdb from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-8846b76cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-5dcdbd74bf-fbc4n to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 3.077s (3.077s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-5b85d8b48f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-5dcdbd74bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-6997b7c89-lfxgj to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:19 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 26.952s (26.952s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-6997b7c89-lfxgj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:17 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.541s (1.541s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-5d9b98884c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-6997b7c89 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:35 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-58774698bc-xlk69 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-58774698bc-xlk69 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-f56b95d46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-58774698bc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:57 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.26/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.145s (1.145s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.559s (1.559s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.36:8000/health": dial tcp 10.133.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.36:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:21 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:22 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:53:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:45 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:41 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:35:17 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.132.0.50:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:35 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:24 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.274s (1.274s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-577ddf46cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.55/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 5.991s (5.991s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.588s (1.588s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 29.738s (29.738s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:41 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-7d9475576c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7dbc9b54cf from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:02 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-k7wrt to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-lzjqc to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:55 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.49:15021/healthz/ready": dial tcp 10.132.0.49:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: HTTP probe failed with statuscode: 503 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-szvtg to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.57/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.57:15021/healthz/ready": dial tcp 10.132.0.57:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-szvtg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-5pb7c to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.56/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:02 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-c7gts to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.54/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:28 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-w858r to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.46:15021/healthz/ready": context deadline exceeded (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-znbzj to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-5pb7c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-5pb7c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-799f46c59b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-54c47cdfc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-799f46c59b from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-54c47cdfc7 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test GatewayAuthBootstrap Warning ReconcileError Failed to delete gateway PodMonitor: failed to delete PodMonitor: podmonitors.monitoring.coreos.com "router-gateway-1-metrics" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-75b6f7579f-8kmql to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.38:8000/health": dial tcp 10.133.0.38:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-75b6f7579f-8kmql [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler-6c88bfdb46-bgdv5 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:17 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:17 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-router-scheduler-6c88bfdb46-bgdv5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-router-scheduler-6c88bfdb46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-75b6f7579f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:25 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 I0713 20:54:12.478443 1 config.go:602] "Configuration:" =< [e2e-llm-inference-service] { [e2e-llm-inference-service] "IP": "", [e2e-llm-inference-service] "PodName": "", [e2e-llm-inference-service] "PodNameSpace": "", [e2e-llm-inference-service] "VllmDevMode": false, [e2e-llm-inference-service] "block-size": 16, [e2e-llm-inference-service] "data-parallel-rank": -1, [e2e-llm-inference-service] "data-parallel-size": 1, [e2e-llm-inference-service] "dataset-in-memory": false, [e2e-llm-inference-service] "dataset-path": "", [e2e-llm-inference-service] "dataset-table-name": "llmd", [e2e-llm-inference-service] "dataset-url": "", [e2e-llm-inference-service] "default-embedding-dimensions": 384, [e2e-llm-inference-service] "ec-transfer-config": "", [e2e-llm-inference-service] "enable-kvcache": false, [e2e-llm-inference-service] "enable-prefix-caching": false, [e2e-llm-inference-service] "enable-request-id-headers": false, [e2e-llm-inference-service] "enable-sleep-mode": false, [e2e-llm-inference-service] "enforce-eager": false, [e2e-llm-inference-service] "event-batch-size": 16, [e2e-llm-inference-service] "failure-injection-rate": 0, [e2e-llm-inference-service] "failure-types": null, [e2e-llm-inference-service] "fake-metrics": null, [e2e-llm-inference-service] "fake-metrics-refresh-interval": 100000000, [e2e-llm-inference-service] "global-cache-hit-threshold": 0, [e2e-llm-inference-service] "hash-seed": "", [e2e-llm-inference-service] "inter-token-latency": 0, [e2e-llm-inference-service] "inter-token-latency-std-dev": 0, [e2e-llm-inference-service] "kv-cache-size": 1024, [e2e-llm-inference-service] "kv-cache-transfer-latency": 0, [e2e-llm-inference-service] "kv-cache-transfer-latency-std-dev": 0, [e2e-llm-inference-service] "kv-cache-transfer-time-per-token": 0, [e2e-llm-inference-service] "kv-cache-transfer-time-std-dev": 0, [e2e-llm-inference-service] "latency-calculator": "", [e2e-llm-inference-service] "lora-modules": null, [e2e-llm-inference-service] "max-cpu-loras": 1, [e2e-llm-inference-service] "max-loras": 1, [e2e-llm-inference-service] "max-model-len": 1024, [e2e-llm-inference-service] "max-num-seqs": 5, [e2e-llm-inference-service] "max-tool-call-array-param-length": 5, [e2e-llm-inference-service] "max-tool-call-integer-param": 100, [e2e-llm-inference-service] "max-tool-call-number-param": 100, [e2e-llm-inference-service] "max-waiting-queue-length": 1000, [e2e-llm-inference-service] "min-tool-call-array-param-length": 1, [e2e-llm-inference-service] "min-tool-call-integer-param": 0, [e2e-llm-inference-service] "min-tool-call-number-param": 0, [e2e-llm-inference-service] "mm-encoder-only": false, [e2e-llm-inference-service] "mm-processor-kwargs": "", [e2e-llm-inference-service] "mode": "random", [e2e-llm-inference-service] "model": "facebook/opt-125m", [e2e-llm-inference-service] "object-tool-call-not-required-field-probability": 50, [e2e-llm-inference-service] "port": 8000, [e2e-llm-inference-service] "prefill-overhead": 0, [e2e-llm-inference-service] "prefill-time-per-token": 0, [e2e-llm-inference-service] "prefill-time-std-dev": 0, [e2e-llm-inference-service] "seed": 1783976052477976300, [e2e-llm-inference-service] "self-signed-certs": false, [e2e-llm-inference-service] "served-model-name": [ [e2e-llm-inference-service] "facebook/opt-125m" [e2e-llm-inference-service] ], [e2e-llm-inference-service] "ssl-certfile": "/var/run/kserve/tls/tls.crt", [e2e-llm-inference-service] "ssl-keyfile": "/var/run/kserve/tls/tls.key", [e2e-llm-inference-service] "time-factor-under-load": 1, [e2e-llm-inference-service] "time-to-first-token": 0, [e2e-llm-inference-service] "time-to-first-token-std-dev": 0, [e2e-llm-inference-service] "tool-call-not-required-param-probability": 50, [e2e-llm-inference-service] "uds-socket-path": "/tmp/tokenizer/tokenizer-uds.socket", [e2e-llm-inference-service] "zmq-endpoint": "tcp://127.0.0.1:5557" [e2e-llm-inference-service] } [e2e-llm-inference-service] > [e2e-llm-inference-service] I0713 20:54:12.507987 1 tokenizer.go:104] "Model is not a real HF model, using simulated tokenizer" model="facebook/opt-125m" [e2e-llm-inference-service] I0713 20:54:12.512526 1 context.go:138] "No dataset path or URL provided, using random text for responses" [e2e-llm-inference-service] I0713 20:54:12.512579 1 communication.go:49] "Starting communication layer" [e2e-llm-inference-service] I0713 20:54:12.512629 1 simulator.go:188] "Start processing routine" [e2e-llm-inference-service] I0713 20:54:12.512789 1 http_server_tls.go:44] "HTTPS server starting with certificate files" cert="/var/run/kserve/tls/tls.crt" key="/var/run/kserve/tls/tls.key" [e2e-llm-inference-service] I0713 20:54:12.512878 1 grpc.go:126] "Server starting" protocol="gRPC" port=8000 [e2e-llm-inference-service] I0713 20:54:12.513425 1 http.go:96] "Server starting" protocol="HTTPS" port=8000 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783976053.0147307,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783976053.014869,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"llmisvc-router-managed-test-llm-4b931143-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0150294,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0154803,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.015529,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0155454,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0158563,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"single-profile-handler","parameters":null,"type":"single-profile-handler"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0344207,"logger":"utilization-detector/utilization-detector","caller":"utilization/detector.go:83","msg":"Creating new UtilizationDetector","queueDepthThreshold":5,"kvCacheUtilThreshold":0.8,"metricsStalenessThreshold":"200ms","headroom":0} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0345144,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0345523,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0345886,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0346475,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton-tensorrt-llm","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0346682,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0347192,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: single-profile-handler, Type: single-profile-handler} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.034775,"caller":"approximateprefix/plugin.go:88","msg":"Prefix DataProducer initialized","config":{"autoTune":true,"blockSizeTokens":16,"blockSize":0,"maxPrefixBlocksToMatch":2048,"maxPrefixTokensToMatch":131072,"lruCapacityPerServer":31250}} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0348387,"caller":"approximateprefix/plugin.go:111","msg":"WARNING: configured blockSizeTokens is below the recommended minimum, overriding it.","blockSizeTokens":16,"minimum":64,"issue":"https://github.com/llm-d/llm-d-router/issues/1158"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0348606,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"approx-prefix-cache-producer/approx-prefix-cache-producer","dataKey":"PrefixCacheMatchInfoDataKey/approx-prefix-cache-producer","consumer":"prefix-cache-scorer"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0348856,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"token-producer/token-producer","dataKey":"TokenizedPrompt/token-producer","consumer":"approx-prefix-cache-producer"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0349548,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0349667,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0007ec840 DataConfig:{Sources:[{Plugin:0xc00032d680 Extractors:[0xc0007ecc80]}]} FlowControlConfig: ParserRegistry:0xc0007ed480}"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0522635,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.052293,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523095,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523155,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.05232,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523243,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523286,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.052333,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523372,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523422,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.052347,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523512,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523589,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523636,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523891,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0523968,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0524108,"logger":"setup","caller":"datalayer/runtime.go:147","msg":"Source configured","source":"metrics-data-source","extractors":["core-metrics-extractor/core-metrics-extractor"]} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0524237,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0524318,"logger":"setup","caller":"runner/runner.go:833","msg":"Experimental Flow Control layer is disabled, using legacy admission control"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0525248,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0525377,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.052564,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0527656,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0528462,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0530696,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0532508,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","source":"kind source: *v1.InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0534477,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0535421,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0537205,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"pod","controllerGroup":"","controllerKind":"Pod","source":"kind source: *v1.Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.053921,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.054026,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783976053.0572836,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.057353,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.061976,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.06337,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.1547627,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.154791,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783976053.154751,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.1547532,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.1547432,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783976053.154835,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783976053.1548312,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783976053.154823,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783976053.1550214,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-router-managed-test-llm-4b931143-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-router-managed-test-llm-4b931143-inference-pool","reconcileID":"6fa3a3bf-ccd9-430b-9cd6-008d42eac63d"} [e2e-llm-inference-service] {"level":"info","ts":1783976062.781466,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4","reconcileID":"7f118617-60ae-45b9-aefb-5aa11a1140b8"} [e2e-llm-inference-service] {"level":"info","ts":1783976071.8177853,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-router-managed-test-llm-4b931143-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-router-managed-test-llm-4b931143-inference-pool","reconcileID":"65b31d44-571f-462b-95f3-b453843bd4d7"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3b5ff647-ce1d-4586-8903-bd1ccf996656 [e2e-llm-inference-service] resourceVersion: '37985' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.132.0.55 [e2e-llm-inference-service] nodeName: ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 [e2e-llm-inference-service] uid: 9a3dcb20-2700-4a21-96e1-5da0f567ac8c [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 375a456c-9cac-4a3e-8da5-65b54858b1ae [e2e-llm-inference-service] resourceVersion: '37588' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.133.0.35 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 [e2e-llm-inference-service] uid: b353cb27-5ebf-4059-825b-0b668c79eeda [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 [e2e-llm-inference-service] generateName: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: b353cb27-5ebf-4059-825b-0b668c79eeda [e2e-llm-inference-service] resourceVersion: '37586' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: bd545d56 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.35/23"],"mac_address":"0a:58:0a:85:00:23","gateway_ips":["10.133.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.133.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.133.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.133.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.133.0.1"}],"ip_address":"10.133.0.35/23","gateway_ip":"10.133.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.133.0.35\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:23\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 [e2e-llm-inference-service] uid: 6ec86e12-83e7-4e2d-8178-0e4f6a1bacd3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-147 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"6ec86e12-83e7-4e2d-8178-0e4f6a1bacd3"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.35"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kube-api-access-5454q [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-inference-sim:v0.8.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/llm-d-inference-sim [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --model [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --mode [e2e-llm-inference-service] - random [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kube-api-access-5454q [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] hostIP: 10.0.140.147 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.147 [e2e-llm-inference-service] podIP: 10.133.0.35 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.35 [e2e-llm-inference-service] startTime: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-inference-sim:v0.8.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-inference-sim@sha256:bab162bd25e2ed8b15022387cdb223023aeb33be49476af9f0115c0398fb8ff5 [e2e-llm-inference-service] containerID: cri-o://c84955cd0af7f15d49d057457c552b61fa274e18cf271420112c39c3234f6cf3 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-5454q [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 [e2e-llm-inference-service] generateName: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 9a3dcb20-2700-4a21-96e1-5da0f567ac8c [e2e-llm-inference-service] resourceVersion: '37983' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 68cc9685d6 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.132.0.55/23"],"mac_address":"0a:58:0a:84:00:37","gateway_ips":["10.132.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.132.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.132.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.132.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.132.0.1"}],"ip_address":"10.132.0.55/23","gateway_ip":"10.132.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.132.0.55\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:84:00:37\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 [e2e-llm-inference-service] uid: 8a053974-f6d2-4f11-9e13-3e7628b28cd6 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-139-183 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"8a053974-f6d2-4f11-9e13-3e7628b28cd6"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.132.0.55"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-9mnfj [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-9mnfj [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-router-managed-test-llm-4b931143-epp-sa-dockercfg-w2g7s [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:13Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] hostIP: 10.0.139.183 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.139.183 [e2e-llm-inference-service] podIP: 10.132.0.55 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.132.0.55 [e2e-llm-inference-service] startTime: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://fcab25e20a005318502776859806048880ffcf7e99042dd70ba1c1c2c2f9cd1e [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-9mnfj [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 20d8fcc3-2191-4684-8172-985900a9832a [e2e-llm-inference-service] resourceVersion: '37262' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: llmisvc-router-managed-test-llm-4b931143-epp-sa-dockercfg-w2g7s [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: openshift.io/image-registry-pull-secrets_service-account-controller [e2e-llm-inference-service] operation: Apply [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"llmisvc-router-managed-test-llm-4b931143-epp-sa-dockercfg-w2g7s"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-559w9"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: llmisvc-router-managed-test-llm-4b931143-epp-sa-dockercfg-w2g7s [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-router-managed-test-llm-4b931143-epp-sa-dockercfg-w2g7s [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 0f43632f-404e-4c5a-8d83-9c4c84cef845 [e2e-llm-inference-service] resourceVersion: '37283' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.56.128 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.56.128 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 400269f4-f7b9-47f8-9b18-d9eabc87c133 [e2e-llm-inference-service] resourceVersion: '37242' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.1.221 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.1.221 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 58388dd9-82ff-4588-adad-c5abc004361f [e2e-llm-inference-service] resourceVersion: '37593' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-inference-sim:v0.8.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/llm-d-inference-sim [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --model [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --mode [e2e-llm-inference-service] - random [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 5bab0b3b-1a8a-4b19-b1db-1616c6c8a023 [e2e-llm-inference-service] resourceVersion: '37987' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: Recreate [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 6ec86e12-83e7-4e2d-8178-0e4f6a1bacd3 [e2e-llm-inference-service] resourceVersion: '37590' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: bd545d56 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] uid: 58388dd9-82ff-4588-adad-c5abc004361f [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"58388dd9-82ff-4588-adad-c5abc004361f"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: bd545d56 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: bd545d56 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-inference-sim:v0.8.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/llm-d-inference-sim [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --model [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --mode [e2e-llm-inference-service] - random [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 8a053974-f6d2-4f11-9e13-3e7628b28cd6 [e2e-llm-inference-service] resourceVersion: '37986' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 68cc9685d6 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] uid: 5bab0b3b-1a8a-4b19-b1db-1616c6c8a023 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"5bab0b3b-1a8a-4b19-b1db-1616c6c8a023"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 68cc9685d6 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 68cc9685d6 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 7948603c-8e16-481d-9860-f963db87f51a [e2e-llm-inference-service] resourceVersion: '37275' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: c0bcc798-49d5-47e9-a077-654adaa9d226 [e2e-llm-inference-service] resourceVersion: '37269' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-service-57wt9 [e2e-llm-inference-service] generateName: llmisvc-router-managed-test-llm-4b931143-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ca7051d8-bbdb-4d0b-9213-de12552cbcf8 [e2e-llm-inference-service] resourceVersion: '37984' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] uid: 0f43632f-404e-4c5a-8d83-9c4c84cef845 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:44Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"0f43632f-404e-4c5a-8d83-9c4c84cef845"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.132.0.55 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 [e2e-llm-inference-service] uid: 9a3dcb20-2700-4a21-96e1-5da0f567ac8c [e2e-llm-inference-service] nodeName: ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-slnftd [e2e-llm-inference-service] generateName: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 753e8079-9c1b-466c-ad82-c9a006625495 [e2e-llm-inference-service] resourceVersion: '37589' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:11Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] uid: 400269f4-f7b9-47f8-9b18-d9eabc87c133 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"400269f4-f7b9-47f8-9b18-d9eabc87c133"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.133.0.35 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 [e2e-llm-inference-service] uid: b353cb27-5ebf-4059-825b-0b668c79eeda [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 7948603c-8e16-481d-9860-f963db87f51a [e2e-llm-inference-service] resourceVersion: '37275' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: c0bcc798-49d5-47e9-a077-654adaa9d226 [e2e-llm-inference-service] resourceVersion: '37269' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:31Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:54:31Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:54:32Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37824' [e2e-llm-inference-service] uid: 8957acbe-e88f-437a-ac03-c7e7b340122c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:31Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:13Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:31Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:54:31Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:54:32Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37824' [e2e-llm-inference-service] uid: 8957acbe-e88f-437a-ac03-c7e7b340122c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:31Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:13Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:endpointPickerRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:number: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:matchLabels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPorts: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:54:31Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37802' [e2e-llm-inference-service] uid: 40c94972-9908-40b5-b349-8221dc4c6761 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPorts: [e2e-llm-inference-service] - number: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:31Z' [e2e-llm-inference-service] message: Referenced by an HTTPRoute accepted by the parentRef Gateway [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:31Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:15Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:rules: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:authentication: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:public: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:anonymous: {} [e2e-llm-inference-service] f:credentials: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:overrides: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fairness: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:response: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:success: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:headers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:x-gateway-inference-fairness-id: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:x-gateway-inference-objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:targetRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:15Z' [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Accepted"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Enforced"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T20:54:17Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37467' [e2e-llm-inference-service] uid: a3ee1bc8-6b36-477c-b423-131ca6487fa4 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:16Z' [e2e-llm-inference-service] message: AuthPolicy has been accepted [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T20:54:17Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37332' [e2e-llm-inference-service] uid: dc8d186c-15b6-4d61-a247-f6dfa359d12c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-4b931143-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-4b931143-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:32Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:32Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37817' [e2e-llm-inference-service] uid: a1d1fdcc-01e1-4177-8de4-d2de18e74fae [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-4b931143-inference--ip-81883b73.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:13Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:13Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37363' [e2e-llm-inference-service] uid: 6af5ed0c-ea1e-4a1f-8fcb-3847b8bc963d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37332' [e2e-llm-inference-service] uid: dc8d186c-15b6-4d61-a247-f6dfa359d12c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-4b931143-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-4b931143-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:32Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:32Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37817' [e2e-llm-inference-service] uid: a1d1fdcc-01e1-4177-8de4-d2de18e74fae [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-4b931143-inference--ip-81883b73.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:13Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:13Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37363' [e2e-llm-inference-service] uid: 6af5ed0c-ea1e-4a1f-8fcb-3847b8bc963d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37332' [e2e-llm-inference-service] uid: dc8d186c-15b6-4d61-a247-f6dfa359d12c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-4b931143-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-4b931143-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:32Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:32Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37817' [e2e-llm-inference-service] uid: a1d1fdcc-01e1-4177-8de4-d2de18e74fae [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-4b931143-inference--ip-81883b73.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:13Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:13Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37363' [e2e-llm-inference-service] uid: 6af5ed0c-ea1e-4a1f-8fcb-3847b8bc963d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1125e56f-1962-43b4-876e-243c116257e5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:extensionRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:portNumber: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPortNumber: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T20:54:12Z' [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] uid: 1125e56f-1962-43b4-876e-243c116257e5 [e2e-llm-inference-service] resourceVersion: '37294' [e2e-llm-inference-service] uid: f22eba3a-ef50-4bb7-9496-a045af6a045b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:13:09Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: bd545d56 [e2e-llm-inference-service] timestamp: '2026-07-13T21:13:03Z' [e2e-llm-inference-service] window: 17.163s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 17192099n [e2e-llm-inference-service] memory: 26520Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:13:09Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-router-managed-test-llm-4b931143 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 68cc9685d6 [e2e-llm-inference-service] timestamp: '2026-07-13T21:13:02Z' [e2e-llm-inference-service] window: 12.107s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 11590071n [e2e-llm-inference-service] memory: 30240Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_inference_service] [2026-07-13T21:13:09.265200] end - ❌ 1166.240s: Service returned 503: inference error: ServiceUnavailable - failed to find endpoint candidates for serving the request [e2e-llm-inference-service] _ test_llm_inference_service[router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf1] _ [e2e-llm-inference-service] [gw1] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt=None, service_n... {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] print(f"{prefix} Waiting for model response from {service_name}") [e2e-llm-inference-service] > wait_for_model_response( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] test_case, [e2e-llm-inference-service] test_case.wait_timeout, [e2e-llm-inference-service] extra_headers=test_case.extra_headers, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:816: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, TestCase(base_refs=['router-managed', 'workload-sin... {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900) [e2e-llm-inference-service] kwargs = {'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}} [e2e-llm-inference-service] func_name = 'wait_for_model_response' [e2e-llm-inference-service] timestamp_start = '2026-07-13T21:17:34.210783', start_time = 1783977454.211127 [e2e-llm-inference-service] duration = 905.0296046733856, timestamp_end = '2026-07-13T21:32:39.240732' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt=None, service_n... {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] extra_headers = {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_model_response( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] test_case: TestCase, # noqa: F811 [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] extra_headers: Optional[Dict[str, str]] = None, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Model response is {response.status_code}: {response.text[:500]}") [e2e-llm-inference-service] [e2e-llm-inference-service] if 200 <= response.status_code < 300: [e2e-llm-inference-service] return response [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Service returned {response.status_code}: {response.text}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] > response = wait_for(get_successful_response, timeout=timeout_seconds, interval=5.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1119: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .get_successful_response at 0x7f8e716a7560> [e2e-llm-inference-service] timeout = 900, interval = 5.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Model response is {response.status_code}: {response.text[:500]}") [e2e-llm-inference-service] [e2e-llm-inference-service] if 200 <= response.status_code < 300: [e2e-llm-inference-service] return response [e2e-llm-inference-service] > raise AssertionError( [e2e-llm-inference-service] f"Service returned {response.status_code}: {response.text}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] E AssertionError: Service returned 401: [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1115: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-llmisvc-model-fb-66e80b02 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-model-fb-66e80b02 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-model-fb-66e80b02 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-1ae2b31a in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-1ae2b31a [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-1ae2b31a [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-with-lora-hf-c0d503b0 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-with-lora-hf-c0d503b0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-with-lora-hf-c0d503b0 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-13T21:15:49.259541] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt=None, service_name='llmisvc-model-fb-opt-125m-with-ba4d693a', endpoint='/v1/models', max_tokens=20, payload_formatter=None, response_assertion=.response_assertion at 0x7f8e726b4a40>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-13T21:15:49.272389] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-13T21:15:49.331292] end - ✅ in 0.059s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-13T21:15:49.331387] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'Inference Pool kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:16:25Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: "False" (reason "BackendNotFound", message "backend(llmisvc-model-fb-opt-125m-with-ba4d693a-inference-p-ip-f5162b44.kserve-ci-e2e-test.svc.cluster.local) not found")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:16:25Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:16:25Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: "False" (reason "BackendNotFound", message "backend(llmisvc-model-fb-opt-125m-with-ba4d693a-inference-p-ip-f5162b44.kserve-ci-e2e-test.svc.cluster.local) not found")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:16:25Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: "False" (reason "BackendNotFound", message "backend(llmisvc-model-fb-opt-125m-with-ba4d693a-inference-p-ip-f5162b44.kserve-ci-e2e-test.svc.cluster.local) not found")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:16:25Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:16:27Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:16:27Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:16:27Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:16:27Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:16:27Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:16:27Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:16:27Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:16:27Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:16:38Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:16:38Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:16:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [wait_for_llm_isvc_ready] [2026-07-13T21:17:34.210563] end - ✅ in 104.879s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_model_response] [2026-07-13T21:17:34.210783] start - args=(, TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt=None, service_name='llmisvc-model-fb-opt-125m-with-ba4d693a', endpoint='/v1/models', max_tokens=20, payload_formatter=None, response_assertion=.response_assertion at 0x7f8e726b4a40>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900), kwargs={'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:17:34.211131] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:17:34.218361] end - ✅ in 0.007s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Service returned 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:17:39.251267] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:17:39.292911] end - ✅ in 0.041s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:17:44.319703] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:17:44.329156] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:17:49.363133] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:17:49.374367] end - ✅ in 0.011s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:17:54.432794] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:17:54.443880] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:17:59.475648] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:17:59.486104] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:04.515927] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:04.526141] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:09.553052] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:09.592674] end - ✅ in 0.039s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:14.623011] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:14.693436] end - ✅ in 0.070s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:19.723379] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:19.731332] end - ✅ in 0.007s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:24.835525] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:24.891805] end - ✅ in 0.056s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:29.921727] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:29.930993] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:34.961046] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:34.970810] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:40.001014] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:40.010599] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:45.051772] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:45.061687] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:50.090231] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:50.099884] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:18:55.131538] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:18:55.140993] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:00.174738] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:00.183858] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:05.217353] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:05.226578] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:10.262408] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:10.272584] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:15.346403] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:15.355499] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:20.387474] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:20.398482] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:25.439242] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:25.449033] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:30.480926] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:30.489914] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:35.518582] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:35.529270] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:40.567850] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:40.577683] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:45.634266] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:45.644950] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:50.675535] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:50.685833] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:19:55.709893] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:19:55.723434] end - ✅ in 0.013s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:00.753016] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:00.762602] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:05.792499] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:05.802507] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:10.914587] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:10.923942] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:15.952208] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:15.961438] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:20.996908] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:21.006088] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:26.160725] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:26.170355] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:31.197423] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:31.206385] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:36.235709] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:36.244838] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:41.339948] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:41.350239] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:46.379347] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:46.388543] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:51.428333] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:51.440185] end - ✅ in 0.011s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:20:56.469838] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:20:56.491675] end - ✅ in 0.021s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:01.630498] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:01.641554] end - ✅ in 0.011s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:06.686137] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:06.695756] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:11.724324] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:11.734291] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:16.762865] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:16.792396] end - ✅ in 0.029s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:21.842288] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:21.899629] end - ✅ in 0.057s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:26.936237] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:26.991916] end - ✅ in 0.055s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:32.020655] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:32.117686] end - ✅ in 0.096s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:37.146292] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:37.191592] end - ✅ in 0.045s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:42.218333] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:42.291937] end - ✅ in 0.073s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:47.433200] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:47.493718] end - ✅ in 0.060s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:52.520869] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:52.592221] end - ✅ in 0.071s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:21:57.624601] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:21:57.691763] end - ✅ in 0.066s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:02.764198] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:02.773150] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:07.804109] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:07.814399] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:12.949221] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:12.958871] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:17.983345] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:17.993189] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:23.021995] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:23.091127] end - ✅ in 0.069s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:28.113225] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:28.126389] end - ✅ in 0.013s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:33.154894] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:33.166310] end - ✅ in 0.011s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:38.193045] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:38.201700] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:43.343638] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:43.352596] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:48.381349] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:48.394116] end - ✅ in 0.012s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:53.431785] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:53.441273] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:22:58.468627] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:22:58.479502] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:03.513420] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:03.522112] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:08.551357] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:08.560778] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:13.587844] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:13.601191] end - ✅ in 0.013s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:18.631916] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:18.641206] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:23.669521] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:23.678507] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:28.721759] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:28.730573] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:33.758299] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:33.768271] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:38.798484] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:38.809273] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:43.839802] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:43.848869] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:48.876851] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:48.886424] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:53.915925] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:53.924808] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:23:58.958454] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:23:58.967837] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:03.998606] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:04.007970] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:09.033913] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:09.044264] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:14.072001] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:14.080838] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:19.106189] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:19.118615] end - ✅ in 0.012s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:24.151037] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:24.165053] end - ✅ in 0.014s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:29.189982] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:29.199231] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:34.320751] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:34.329488] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:39.358860] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:39.368509] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:44.404701] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:44.416206] end - ✅ in 0.011s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:49.446261] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:49.456292] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:54.484635] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:54.494420] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:24:59.528927] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:24:59.538560] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:04.564026] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:04.572270] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:09.605924] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:09.615272] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:14.643930] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:14.654531] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:19.686907] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:19.695706] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:24.736163] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:24.746335] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:29.783280] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:29.796534] end - ✅ in 0.013s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:34.829568] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:34.840746] end - ✅ in 0.011s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:39.887871] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:39.898118] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:44.948347] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:44.958232] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:49.984196] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:49.994874] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:25:55.027319] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:25:55.037862] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:00.069824] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:00.082175] end - ✅ in 0.012s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:05.132853] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:05.142666] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:10.176108] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:10.184525] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:15.326637] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:15.335387] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:20.365956] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:20.376672] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:25.403261] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:25.412613] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:30.442375] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:30.451860] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:35.478320] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:35.491994] end - ✅ in 0.013s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:40.521386] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:40.535260] end - ✅ in 0.013s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:45.565779] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:45.575406] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:50.604273] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:50.613025] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:26:55.649570] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:26:55.664477] end - ✅ in 0.014s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:00.691996] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:00.709741] end - ✅ in 0.017s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:05.746467] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:05.755444] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:10.786558] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:10.795752] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:15.823978] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:15.833465] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:20.864036] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:20.873315] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:25.901883] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:25.910767] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:30.936959] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:30.946574] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:35.971668] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:35.980688] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:41.010648] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:41.020651] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:46.051808] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:46.066357] end - ✅ in 0.014s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:51.094841] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:51.104149] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:27:56.248897] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:27:56.258016] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:01.364203] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:01.374628] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:06.405640] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:06.415127] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:11.534547] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:11.544125] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:16.572828] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:16.581895] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:21.610226] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:21.619720] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:26.647405] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:26.656378] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:31.682959] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:31.691837] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:36.742187] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:36.751137] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:41.780330] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:41.792847] end - ✅ in 0.012s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:46.847544] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:46.856496] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:51.890935] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:51.900673] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:28:56.928913] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:28:56.937812] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:01.964515] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:01.976702] end - ✅ in 0.012s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:07.057691] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:07.066834] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:12.156096] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:12.165515] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:17.193565] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:17.203428] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:22.339019] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:22.348668] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:27.374623] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:27.383634] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:32.414206] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:32.423295] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:37.451463] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:37.464997] end - ✅ in 0.013s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:42.492887] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:42.502258] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:47.533804] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:47.542906] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:52.574340] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:52.582684] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:29:57.627702] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:29:57.636095] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:02.765145] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:02.773502] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:07.800583] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:07.809885] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:12.839273] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:12.849300] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:17.880097] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:17.890494] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:22.919614] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:22.929192] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:27.959752] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:27.968707] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:32.992730] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:33.003217] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:38.129020] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:38.138172] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:43.161918] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:43.171449] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:48.202160] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:48.211491] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:53.237032] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:53.246242] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:30:58.274308] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:30:58.283965] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:03.458829] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:03.468164] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:08.494323] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:08.504486] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:13.536669] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:13.545008] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:18.576474] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:18.584923] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:23.633251] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:23.643103] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:28.674332] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:28.683646] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:33.712931] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:33.722841] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:38.747917] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:38.757391] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:43.787386] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:43.796720] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:48.823340] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:48.832680] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:53.861706] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:53.871301] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:31:58.899370] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:31:58.910172] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:32:03.939826] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:32:03.950393] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:32:08.981963] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:32:08.991232] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:32:14.018678] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:32:14.027115] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:32:19.053291] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:32:19.062364] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:32:24.090466] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:32:24.099626] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:32:29.127259] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:32:29.137362] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:32:34.163893] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:32:34.172933] end - ✅ in 0.008s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-13T21:32:39.200111] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-13T21:32:39.211510] end - ✅ in 0.011s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1111 Model response is 401: [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: Service returned 401: [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_model_response] [2026-07-13T21:32:39.240732] end - ❌ 905.030s: Service returned 401: [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf] ❌ ERROR: Failed to call llm inference service llmisvc-model-fb-opt-125m-with-ba4d693a: Service returned 401: [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'llmisvc-model-fb-opt-125m-with-ba4d693a' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:15:49Z' [e2e-llm-inference-service] finalizers: [e2e-llm-inference-service] - serving.kserve.io/llmisvc-finalizer [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:security.opendatahub.io/enable-auth: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:baseRefs: {} [e2e-llm-inference-service] manager: OpenAPI-Generator [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:15:49Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:finalizers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] v:"serving.kserve.io/llmisvc-finalizer": {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:15:49Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:17:34Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '53859' [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-managed-llmisvc-model-fb-66e80b02 [e2e-llm-inference-service] - name: workload-single-cpu-llmisvc-mod-1ae2b31a [e2e-llm-inference-service] - name: model-fb-opt-125m-with-lora-hf-c0d503b0 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external-model-routing [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] - name: gateway-internal-model-routing [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/ [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:27Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:27Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:17:34Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:06Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:17:34Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:38Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:38Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:17:34Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-8846b76cf-l9hlg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:51:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-8846b76cf-l9hlg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-74b57f8bdb from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-8846b76cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-5dcdbd74bf-fbc4n to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 3.077s (3.077s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-5b85d8b48f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-5dcdbd74bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-6997b7c89-lfxgj to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:19 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 26.952s (26.952s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-6997b7c89-lfxgj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:17 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.541s (1.541s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-5d9b98884c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-6997b7c89 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:35 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-575cb866d6-hg2qq to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.43:8001/health": dial tcp 10.133.0.43:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-575cb866d6-hg2qq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f-6qsfr to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.44:8000/health": dial tcp 10.133.0.44:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f-6qsfr [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-router-scheduler-577dcvrrhd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-router-scheduler-577dcvrrhd to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-router-scheduler-577dc859c9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-575cb866d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-pd-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-pd-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:20 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:20 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:48 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-pd-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-58774698bc-xlk69 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:29:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.37:8000/health": dial tcp 10.133.0.37:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-58774698bc-xlk69 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-f56b95d46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-58774698bc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:57 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:29:49 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.26/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.145s (1.145s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.559s (1.559s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfcs8rwt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfcs8rwt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" in 818ms (818ms including waiting). Image size: 44914394 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.40:8001/health": dial tcp 10.133.0.40:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-56wr5zk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-56wr5zk to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.41:8000/health": dial tcp 10.133.0.41:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-567d677454 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:47 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:25 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:32 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-50bc673d] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.36:8000/health": dial tcp 10.133.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.36:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:21 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:22 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:53:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8-v6swg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:34 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.39:8000/health": dial tcp 10.133.0.39:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.39:8000/health": context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8-v6swg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheldc7v [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-64fbddf8c7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheldc7v to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.58/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:34 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:34 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-7ca60146] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.42:8000/health": dial tcp 10.133.0.42:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-675579c8d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.59/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test05addb65ba05195619f26ef266e8fc04-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:34 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-ba4d693a] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:45 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:41 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:35:17 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.132.0.50:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:35 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc44d181485fad85e662eb092f3749502f-kserve-router-sche9pp2k to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc44d181485fad85e662eb092f3749502f-kserve-router-sche9pp2k [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc44d181485fad85e662eb092f3749502f-kserve-router-scheduler-687c686d6f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:24 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.274s (1.274s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-577ddf46cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.55/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 5.991s (5.991s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.588s (1.588s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 29.738s (29.738s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:41 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-7d9475576c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7dbc9b54cf from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:02 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-k7wrt to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-lzjqc to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:55 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.49:15021/healthz/ready": dial tcp 10.132.0.49:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: HTTP probe failed with statuscode: 503 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-szvtg to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.57/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.57:15021/healthz/ready": dial tcp 10.132.0.57:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-szvtg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-5pb7c to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.56/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:02 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-c7gts to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.54/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:28 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-w858r to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.46:15021/healthz/ready": context deadline exceeded (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-znbzj to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-5pb7c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-5pb7c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-799f46c59b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-54c47cdfc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-799f46c59b from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-54c47cdfc7 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test GatewayAuthBootstrap Warning ReconcileError Failed to delete gateway PodMonitor: failed to delete PodMonitor: podmonitors.monitoring.coreos.com "router-gateway-1-metrics" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-2-openshift-default-54c789bdc6-dcptk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.60/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-2-openshift-default-54c789bdc6-dcptk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-2-openshift-default-54c789bdc6-dcptk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-2-openshift-default-684dc9b4b9-csj4h to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:19 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" in 2.691s (2.691s including waiting). Image size: 181251556 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:35 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.134.0.36:15021/healthz/ready": dial tcp 10.134.0.36:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-2-openshift-default-684dc9b4b9-csj4h [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-2-openshift-default-54c789bdc6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-2-openshift-default-684dc9b4b9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:17 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-2-openshift-default-54c789bdc6 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-5f979f544b-kp47g to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:23:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.45:8001/health": dial tcp 10.133.0.45:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-5f979f544b-kp47g [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-prefill-6d4d59d7f9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-router-scheduler-76979bbb9f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-5f979f544b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-75b6f7579f-8kmql to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.38:8000/health": dial tcp 10.133.0.38:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-75b6f7579f-8kmql [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler-6c88bfdb46-bgdv5 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:17 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:17 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-router-scheduler-6c88bfdb46-bgdv5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-router-scheduler-6c88bfdb46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-75b6f7579f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:25 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:16 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [router-with-refs-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 21:16:04.177 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models'), ('hf://edbeeching/opt-125m-lora', '/mnt/lora/lora-adapter-1')] [e2e-llm-inference-service] 2026-07-13 21:16:04.177 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-13 21:16:07.942 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-13 21:16:07.942 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 3.7653555560000314 seconds. [e2e-llm-inference-service] 2026-07-13 21:16:07.942 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://edbeeching/opt-125m-lora to local [e2e-llm-inference-service] 2026-07-13 21:16:10.400 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://edbeeching/opt-125m-lora to /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] 2026-07-13 21:16:10.400 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 2.4578956750001453 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 (APIServer pid=1) DEBUG 07-13 21:29:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 21:16:04.471 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 21:16:04.471 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-13 21:16:04.471 1 storage.initializer INFO [kserve_storage.py:download():169] Allow patterns: ['tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json', 'vocab.json', 'merges.txt', 'config.json', 'generation_config.json'] [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_bbbabb90-ad7a-4082-aa92-971b0869e168'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_552fc37f-6063-4d59-b430-6ab3e9bfb958'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_76525f58-1a68-47fd-8645-df3ca400e063'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_2c2dd397-ab26-403e-90a5-a50f9879e2ef'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_48e5a8a1-6e2c-4e02-8f58-e2e4c6502636'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_81c96762-aab2-461d-a8b0-9c0f33464e4e'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-13 21:16:04.898 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-13 21:16:04.898 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.4267196350001541 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783977365.6585765,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783977365.6587207,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\n- type: lora-affinity-scorer\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n weight: 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783977365.658845,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6593614,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6596465,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker} {Type: lora-affinity-scorer}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: lora-affinity-scorer, Weight: 4.00} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6597571,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.660624,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"single-profile-handler","parameters":null,"type":"single-profile-handler"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"},{"name":"lora-affinity-scorer","parameters":null,"type":"lora-affinity-scorer"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"lora-affinity-scorer","weight":4},{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783977365.681533,"logger":"utilization-detector/utilization-detector","caller":"utilization/detector.go:83","msg":"Creating new UtilizationDetector","queueDepthThreshold":5,"kvCacheUtilThreshold":0.8,"metricsStalenessThreshold":"200ms","headroom":0} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6816375,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6816764,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6817129,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6817813,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton-tensorrt-llm","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.681802,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.681855,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: single-profile-handler, Type: single-profile-handler} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: lora-affinity-scorer, Type: lora-affinity-scorer} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: lora-affinity-scorer, Weight: 4.00} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6819131,"caller":"approximateprefix/plugin.go:88","msg":"Prefix DataProducer initialized","config":{"autoTune":true,"blockSizeTokens":16,"blockSize":0,"maxPrefixBlocksToMatch":2048,"maxPrefixTokensToMatch":131072,"lruCapacityPerServer":31250}} [e2e-llm-inference-service] {"level":"info","ts":1783977365.682013,"caller":"approximateprefix/plugin.go:111","msg":"WARNING: configured blockSizeTokens is below the recommended minimum, overriding it.","blockSizeTokens":16,"minimum":64,"issue":"https://github.com/llm-d/llm-d-router/issues/1158"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6820416,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"approx-prefix-cache-producer/approx-prefix-cache-producer","dataKey":"PrefixCacheMatchInfoDataKey/approx-prefix-cache-producer","consumer":"prefix-cache-scorer"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6820781,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"token-producer/token-producer","dataKey":"TokenizedPrompt/token-producer","consumer":"approx-prefix-cache-producer"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6821563,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.6821692,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [lora-affinity-scorer/lora-affinity-scorer: 4.000000, queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc000891080 DataConfig:{Sources:[{Plugin:0xc0004be870 Extractors:[0xc000891280]}]} FlowControlConfig: ParserRegistry:0xc000891740}"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7027783,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7028148,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.70283,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7028356,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.70284,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7028446,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.702849,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7028537,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7028584,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7028635,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7028675,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.702872,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7028794,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7028844,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [lora-affinity-scorer/lora-affinity-scorer: 4.000000, queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7029154,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7029238,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783977365.702939,"logger":"setup","caller":"datalayer/runtime.go:147","msg":"Source configured","source":"metrics-data-source","extractors":["core-metrics-extractor/core-metrics-extractor"]} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7029517,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783977365.70296,"logger":"setup","caller":"runner/runner.go:833","msg":"Experimental Flow Control layer is disabled, using legacy admission control"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7030654,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7030792,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7031045,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7033389,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7036953,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","source":"kind source: *v1.InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7037504,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783977365.703686,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783977365.704263,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7043583,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7044995,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7045803,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7047017,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"pod","controllerGroup":"","controllerKind":"Pod","source":"kind source: *v1.Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.709155,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.709143,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.7092583,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.714808,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.8050702,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.8050702,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.805107,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783977365.8051138,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783977365.9052494,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.9052815,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783977365.9052494,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783977365.9053743,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783977365.9054275,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool","reconcileID":"d0bd25ab-81d9-4334-beb9-73e6f61c9e78"} [e2e-llm-inference-service] {"level":"info","ts":1783977383.2759454,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool","reconcileID":"ea7c93d2-8400-421c-8c3c-c23d7a3622be"} [e2e-llm-inference-service] {"level":"info","ts":1783977453.7565246,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z","reconcileID":"148d4468-bdef-4c66-bc76-7bbe10199269"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 89477d2e-a5a2-4c4a-a944-33d42bdacd98 [e2e-llm-inference-service] resourceVersion: '53131' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.132.0.59 [e2e-llm-inference-service] nodeName: ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 [e2e-llm-inference-service] uid: ec574c47-78b6-4610-8a90-44c179f75e3a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 26253a93-7bc1-4774-8ea0-e72edf729895 [e2e-llm-inference-service] resourceVersion: '53851' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.133.0.42 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z [e2e-llm-inference-service] uid: f8d1d10f-622c-4f3f-805f-99ace3f92d9e [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f8d1d10f-622c-4f3f-805f-99ace3f92d9e [e2e-llm-inference-service] resourceVersion: '53849' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 8546798f9f [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.42/23"],"mac_address":"0a:58:0a:85:00:2a","gateway_ips":["10.133.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.133.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.133.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.133.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.133.0.1"}],"ip_address":"10.133.0.42/23","gateway_ip":"10.133.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.133.0.42\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:2a\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f [e2e-llm-inference-service] uid: fe8a0ef2-b28e-4346-9732-dbbb22b7d99d [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-147 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"fe8a0ef2-b28e-4346-9732-dbbb22b7d99d"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_CONFIGMAP_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_VOLUME_MOUNT_POINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/etc/ssl/custom-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"cabundle-cert"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:configMap: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.42"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] configMap: [e2e-llm-inference-service] name: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kube-api-access-rv7hq [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] - hf://edbeeching/opt-125m-lora [e2e-llm-inference-service] - /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: CA_BUNDLE_CONFIGMAP_NAME [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: CA_BUNDLE_VOLUME_MOUNT_POINT [e2e-llm-inference-service] value: /etc/ssl/custom-certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] - name: kube-api-access-rv7hq [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\" \\\n --port 8000\ [e2e-llm-inference-service] \ \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh\ [e2e-llm-inference-service] \ \\\n --ssl-certfile /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --enable-lora [e2e-llm-inference-service] - --lora-modules [e2e-llm-inference-service] - '''{"name":"lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] - '''{"name":"publishers/kserve-ci-e2e-test/models/lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: kube-api-access-rv7hq [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:10Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] hostIP: 10.0.140.147 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.147 [e2e-llm-inference-service] podIP: 10.133.0.42 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.42 [e2e-llm-inference-service] startTime: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] finishedAt: '2026-07-13T21:16:10Z' [e2e-llm-inference-service] containerID: cri-o://24e01c65299add91524d0187677fdc2b48068c287042a4475936328c69c5a540 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://24e01c65299add91524d0187677fdc2b48068c287042a4475936328c69c5a540 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-rv7hq [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T21:16:10Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo@sha256:afb39fca138b51d019d986229d546531b45a2a3deb73bcf59bd42406e13fbba0 [e2e-llm-inference-service] containerID: cri-o://f1b7396b870de720d89f896d1a98063acc0b50fd6b871d0bceaac0443ad5873e [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-rv7hq [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-675579c8d4- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ec574c47-78b6-4610-8a90-44c179f75e3a [e2e-llm-inference-service] resourceVersion: '53130' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 675579c8d4 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.132.0.59/23"],"mac_address":"0a:58:0a:84:00:3b","gateway_ips":["10.132.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.132.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.132.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.132.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.132.0.1"}],"ip_address":"10.132.0.59/23","gateway_ip":"10.132.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.132.0.59\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:84:00:3b\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-675579c8d4 [e2e-llm-inference-service] uid: d679386b-9253-4e37-9bc7-e1c07552bf0c [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-139-183 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d679386b-9253-4e37-9bc7-e1c07552bf0c"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.132.0.59"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-6j8j7 [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-6j8j7 [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\n- type: lora-affinity-scorer\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n weight:\ [e2e-llm-inference-service] \ 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-6j8j7 [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa-dockercfg-ql5r2 [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:05Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] hostIP: 10.0.139.183 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.139.183 [e2e-llm-inference-service] podIP: 10.132.0.59 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.132.0.59 [e2e-llm-inference-service] startTime: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] finishedAt: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] containerID: cri-o://3260ae806474b4c7df299158d494cb8a5cf61232f5becde3c50d1571286cb931 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://3260ae806474b4c7df299158d494cb8a5cf61232f5becde3c50d1571286cb931 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-6j8j7 [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T21:16:05Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://0f2fdacacb3114f0ae1d8564921e0b7d4107b15819731a5a055815b7fba1cfaf [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-6j8j7 [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 655469d5-6e3f-4f99-b4a1-de358c59edc4 [e2e-llm-inference-service] resourceVersion: '52541' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa-dockercfg-ql5r2 [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: openshift.io/image-registry-pull-secrets_service-account-controller [e2e-llm-inference-service] operation: Apply [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa-dockercfg-ql5r2"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-559w9"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa-dockercfg-ql5r2 [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa-dockercfg-ql5r2 [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 5ed928c9-b0c9-43be-a81b-279e75152210 [e2e-llm-inference-service] resourceVersion: '52556' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.87.185 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.87.185 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: d7368b0f-ada5-4891-ae80-37882f40f22a [e2e-llm-inference-service] resourceVersion: '52534' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.157.44 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.157.44 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: fee9fe60-3bcb-439b-8807-7ac4bc73d007 [e2e-llm-inference-service] resourceVersion: '53855' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_CONFIGMAP_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_VOLUME_MOUNT_POINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/etc/ssl/custom-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"cabundle-cert"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:configMap: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] configMap: [e2e-llm-inference-service] name: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] - hf://edbeeching/opt-125m-lora [e2e-llm-inference-service] - /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: CA_BUNDLE_CONFIGMAP_NAME [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: CA_BUNDLE_VOLUME_MOUNT_POINT [e2e-llm-inference-service] value: /etc/ssl/custom-certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --enable-lora [e2e-llm-inference-service] - --lora-modules [e2e-llm-inference-service] - '''{"name":"lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] - '''{"name":"publishers/kserve-ci-e2e-test/models/lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 57399af6-fb03-4100-bdec-62480352d802 [e2e-llm-inference-service] resourceVersion: '53135' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\n- type: lora-affinity-scorer\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n\ [e2e-llm-inference-service] \ weight: 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: Recreate [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-675579c8d4" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: fe8a0ef2-b28e-4346-9732-dbbb22b7d99d [e2e-llm-inference-service] resourceVersion: '53854' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 8546798f9f [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] uid: fee9fe60-3bcb-439b-8807-7ac4bc73d007 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"fee9fe60-3bcb-439b-8807-7ac4bc73d007"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_CONFIGMAP_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_VOLUME_MOUNT_POINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/etc/ssl/custom-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"cabundle-cert"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:configMap: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 8546798f9f [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 8546798f9f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] configMap: [e2e-llm-inference-service] name: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] - hf://edbeeching/opt-125m-lora [e2e-llm-inference-service] - /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: CA_BUNDLE_CONFIGMAP_NAME [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: CA_BUNDLE_VOLUME_MOUNT_POINT [e2e-llm-inference-service] value: /etc/ssl/custom-certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --enable-lora [e2e-llm-inference-service] - --lora-modules [e2e-llm-inference-service] - '''{"name":"lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] - '''{"name":"publishers/kserve-ci-e2e-test/models/lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-675579c8d4 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: d679386b-9253-4e37-9bc7-e1c07552bf0c [e2e-llm-inference-service] resourceVersion: '53133' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 675579c8d4 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] uid: 57399af6-fb03-4100-bdec-62480352d802 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"57399af6-fb03-4100-bdec-62480352d802"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 675579c8d4 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 675579c8d4 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\n- type: lora-affinity-scorer\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n\ [e2e-llm-inference-service] \ weight: 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 2ba35b1c-948e-4d0d-bd23-66f9ea9f5405 [e2e-llm-inference-service] resourceVersion: '52549' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: bdad35ec-9167-40b2-8327-4aa3c6ded5d5 [e2e-llm-inference-service] resourceVersion: '52547' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service-bc25b [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: b3243355-1a68-4f5f-a4ea-e84acd1ad5ea [e2e-llm-inference-service] resourceVersion: '53132' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] uid: 5ed928c9-b0c9-43be-a81b-279e75152210 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:37Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"5ed928c9-b0c9-43be-a81b-279e75152210"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.132.0.59 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 [e2e-llm-inference-service] uid: ec574c47-78b6-4610-8a90-44c179f75e3a [e2e-llm-inference-service] nodeName: ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-sv2zcnn [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 5614e155-43dc-4546-98ec-dc3dfbb86bfe [e2e-llm-inference-service] resourceVersion: '53852' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] uid: d7368b0f-ada5-4891-ae80-37882f40f22a [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:17:33Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d7368b0f-ada5-4891-ae80-37882f40f22a"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.133.0.42 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z [e2e-llm-inference-service] uid: f8d1d10f-622c-4f3f-805f-99ace3f92d9e [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 2ba35b1c-948e-4d0d-bd23-66f9ea9f5405 [e2e-llm-inference-service] resourceVersion: '52549' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: bdad35ec-9167-40b2-8327-4aa3c6ded5d5 [e2e-llm-inference-service] resourceVersion: '52547' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:16:25Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52973' [e2e-llm-inference-service] uid: 2fd3345a-8f46-486f-9ee5-beb5e6241d95 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:05Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:16:25Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52973' [e2e-llm-inference-service] uid: 2fd3345a-8f46-486f-9ee5-beb5e6241d95 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:05Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:endpointPickerRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:number: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:matchLabels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPorts: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52947' [e2e-llm-inference-service] uid: 539f7470-1717-4043-ba02-2bb2631838e5 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPorts: [e2e-llm-inference-service] - number: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] message: Referenced by an HTTPRoute accepted by the parentRef Gateway [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:06Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:rules: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:authentication: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:public: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:anonymous: {} [e2e-llm-inference-service] f:credentials: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:overrides: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fairness: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:response: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:success: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:headers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:x-gateway-inference-fairness-id: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:x-gateway-inference-objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:targetRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:06Z' [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Accepted"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Enforced"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:16:10Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52767' [e2e-llm-inference-service] uid: 14ac28b6-bb9c-45a6-a593-36d9400eb822 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:08Z' [e2e-llm-inference-service] message: AuthPolicy has been accepted [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:16:10Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52586' [e2e-llm-inference-service] uid: 9877263c-f540-4e02-b663-5f4f0e231af4 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52951' [e2e-llm-inference-service] uid: 0eefacee-bdc7-4cd5-8f2a-85b3fac15ca1 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-p-ip-f5162b44.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52595' [e2e-llm-inference-service] uid: 97fff7c0-1a10-4c7d-a897-f3841c6ee12c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52586' [e2e-llm-inference-service] uid: 9877263c-f540-4e02-b663-5f4f0e231af4 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52951' [e2e-llm-inference-service] uid: 0eefacee-bdc7-4cd5-8f2a-85b3fac15ca1 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-p-ip-f5162b44.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52595' [e2e-llm-inference-service] uid: 97fff7c0-1a10-4c7d-a897-f3841c6ee12c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52586' [e2e-llm-inference-service] uid: 9877263c-f540-4e02-b663-5f4f0e231af4 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:23Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52951' [e2e-llm-inference-service] uid: 0eefacee-bdc7-4cd5-8f2a-85b3fac15ca1 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-p-ip-f5162b44.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:04Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52595' [e2e-llm-inference-service] uid: 97fff7c0-1a10-4c7d-a897-f3841c6ee12c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f11eab08-d901-47a6-95ad-c56255da1e42"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:extensionRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:portNumber: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPortNumber: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:16:03Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: f11eab08-d901-47a6-95ad-c56255da1e42 [e2e-llm-inference-service] resourceVersion: '52565' [e2e-llm-inference-service] uid: a038f763-d3bd-48c4-a354-f26cd806defa [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:32:40Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 8546798f9f [e2e-llm-inference-service] timestamp: '2026-07-13T21:32:36Z' [e2e-llm-inference-service] window: 17.279s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 96820070n [e2e-llm-inference-service] memory: 2321084Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:32:40Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 675579c8d4 [e2e-llm-inference-service] timestamp: '2026-07-13T21:32:35Z' [e2e-llm-inference-service] window: 18.896s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 58485975n [e2e-llm-inference-service] memory: 35196Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_inference_service] [2026-07-13T21:32:41.125977] end - ❌ 1011.866s: Service returned 401: [e2e-llm-inference-service] _ test_llm_inference_service[router-with-refs-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] _ [e2e-llm-inference-service] [gw0] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-with-refs-pd', 'scheduler-managed', 'workload-pd-cpu', 'model-fb-opt-125m'], prompt='You a... {'name': 'model-fb-opt-125m-router-with-r-c22ea8a0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] > wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:812: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...h-ref-d1f07093'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-router-with-r-c22ea8a0'}]}, [e2e-llm-inference-service] 'status': None}, 900) [e2e-llm-inference-service] kwargs = {}, func_name = 'wait_for_llm_isvc_ready' [e2e-llm-inference-service] timestamp_start = '2026-07-13T21:21:19.291784', start_time = 1783977679.2920523 [e2e-llm-inference-service] duration = 901.0002934932709, timestamp_end = '2026-07-13T21:36:20.292350' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] given = {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security....er-with-ref-d1f07093'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-router-with-r-c22ea8a0'}]}, [e2e-llm-inference-service] 'status': None} [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] given: V1alpha1LLMInferenceService, [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] return True [e2e-llm-inference-service] [e2e-llm-inference-service] > return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1204: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fb7b5e7e2a0> [e2e-llm-inference-service] timeout = 900, interval = 1.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] > raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] E AssertionError: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:23:48Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1199: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO kserve.trace:gw_api.py:34 Checking Gateway router-gateway-2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO kserve.trace:gw_api.py:62 Resource not found, creating Gateway router-gateway-2 [e2e-llm-inference-service] INFO kserve.trace:gw_api.py:70 ✓ Successfully created Gateway router-gateway-2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1560 ✓ Created/updated Gateway router-gateway-2 [e2e-llm-inference-service] INFO kserve.trace:gw_api.py:121 Checking HttpRoute router-route-3 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO kserve.trace:gw_api.py:149 Resource not found, creating HttpRoute router-route-3 [e2e-llm-inference-service] INFO kserve.trace:gw_api.py:157 ✓ Successfully created HttpRoute router-route-3 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1569 ✓ Created/updated HTTPRoute router-route-3 [e2e-llm-inference-service] INFO kserve.trace:gw_api.py:121 Checking HttpRoute router-route-4 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO kserve.trace:gw_api.py:149 Resource not found, creating HttpRoute router-route-4 [e2e-llm-inference-service] INFO kserve.trace:gw_api.py:157 ✓ Successfully created HttpRoute router-route-4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1569 ✓ Created/updated HTTPRoute router-route-4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-with-refs-pd-router-with-c2ec731e in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-with-refs-pd-router-with-c2ec731e [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-with-refs-pd-router-with-c2ec731e [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig scheduler-managed-router-with-r-57d1c131 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig scheduler-managed-router-with-r-57d1c131 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig scheduler-managed-router-with-r-57d1c131 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-pd-cpu-router-with-ref-d1f07093 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-pd-cpu-router-with-ref-d1f07093 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-pd-cpu-router-with-ref-d1f07093 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-router-with-r-c22ea8a0 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-router-with-r-c22ea8a0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-router-with-r-c22ea8a0 [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:141 Patched Gateway kserve-ci-e2e-test/router-gateway-2 with parametersRef [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:163 Gateway kserve-ci-e2e-test/router-gateway-2 is Programmed [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-13T21:21:18.167717] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-with-refs-pd', 'scheduler-managed', 'workload-pd-cpu', 'model-fb-opt-125m'], prompt='You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.', service_name='router-with-refs-pd-test', endpoint='/v1/completions', max_tokens=20, payload_formatter=None, response_assertion=, wait_timeout=900, response_timeout=60, extra_headers=None, url_getter=None, expected_gateway={'apiVersion': 'gateway.networking.k8s.io/v1', 'kind': 'Gateway', 'metadata': {'name': 'router-gateway-2', 'namespace': 'kserve-ci-e2e-test'}, 'spec': {'gatewayClassName': 'openshift-default', 'listeners': [{'name': 'http', 'port': 80, 'protocol': 'HTTP', 'allowedRoutes': {'namespaces': {'from': 'All'}}}]}}, before_test=[ at 0x7fb7b6f2cc20>], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'router-with-refs-pd-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-with-refs-pd-router-with-c2ec731e'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-router-with-r-57d1c131'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-router-with-ref-d1f07093'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-router-with-r-c22ea8a0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-13T21:21:18.180303] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'router-with-refs-pd-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-with-refs-pd-router-with-c2ec731e'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-router-with-r-57d1c131'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-router-with-ref-d1f07093'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-router-with-r-c22ea8a0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-13T21:21:19.291563] end - ✅ in 1.111s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-13T21:21:19.291784] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'router-with-refs-pd-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-with-refs-pd-router-with-c2ec731e'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-router-with-r-57d1c131'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-router-with-ref-d1f07093'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-router-with-r-c22ea8a0'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:21:51Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-13T21:21:51Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:21:51Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:21:51Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:51Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:51Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:21:51Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:21:51Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:21:51Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:51Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 10: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T21:11:53Z\"}}", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T21:21:30Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 9, "llminferenceservices": 6, "authpolicies": 7} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:23:48Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 11: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T21:11:53Z\"}}", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T21:21:30Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 9, "llminferenceservices": 6, "authpolicies": 7} [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 12: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T21:11:53Z\"}}", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T21:21:30Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 9, "llminferenceservices": 6, "authpolicies": 7} [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:23:48Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_llm_isvc_ready] [2026-07-13T21:36:20.292350] end - ❌ 901.000s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:23:48Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-with-refs-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] ❌ ERROR: Failed to call llm inference service router-with-refs-pd-test: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:23:48Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'router-with-refs-pd-test' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService router-with-refs-pd-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:18Z' [e2e-llm-inference-service] finalizers: [e2e-llm-inference-service] - serving.kserve.io/llmisvc-finalizer [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:security.opendatahub.io/enable-auth: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:baseRefs: {} [e2e-llm-inference-service] manager: OpenAPI-Generator [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:18Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:finalizers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] v:"serving.kserve.io/llmisvc-finalizer": {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:19Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:prefill: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:23:49Z' [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '59262' [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-with-refs-pd-router-with-c2ec731e [e2e-llm-inference-service] - name: scheduler-managed-router-with-r-57d1c131 [e2e-llm-inference-service] - name: workload-pd-cpu-router-with-ref-d1f07093 [e2e-llm-inference-service] - name: model-fb-opt-125m-router-with-r-c22ea8a0 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://aae339252d1674ff28e67863bd13b045-19866071.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/router-with-refs-pd-test [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://aae339252d1674ff28e67863bd13b045-19866071.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/router-with-refs-pd-test/health [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://router-gateway-2-openshift-default.kserve-ci-e2e-test.svc.cluster.local/kserve-ci-e2e-test/router-with-refs-pd-test [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://router-gateway-2-openshift-default.kserve-ci-e2e-test.svc.cluster.local/kserve-ci-e2e-test/router-with-refs-pd-test/health [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:57Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: GatewaysReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:57Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:57Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:57Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: PrefillWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:57Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:57Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:57Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://aae339252d1674ff28e67863bd13b045-19866071.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/router-with-refs-pd-test [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-8846b76cf-l9hlg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:51:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-8846b76cf-l9hlg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-74b57f8bdb from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-8846b76cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-5dcdbd74bf-fbc4n to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 3.077s (3.077s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-5b85d8b48f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-5dcdbd74bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-6997b7c89-lfxgj to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:19 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 26.952s (26.952s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-6997b7c89-lfxgj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:17 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.541s (1.541s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-5d9b98884c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-6997b7c89 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:35 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-575cb866d6-hg2qq to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.43:8001/health": dial tcp 10.133.0.43:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-575cb866d6-hg2qq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f-6qsfr to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.44:8000/health": dial tcp 10.133.0.44:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f-6qsfr [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-router-scheduler-577dcvrrhd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-router-scheduler-577dcvrrhd to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-router-scheduler-577dc859c9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-575cb866d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-pd-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-pd-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:20 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:20 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:48 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-pd-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-58774698bc-xlk69 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:29:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.37:8000/health": dial tcp 10.133.0.37:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-58774698bc-xlk69 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-f56b95d46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-58774698bc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:57 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:29:49 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/e2e-pvc-model-download-56zqx to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:46 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.61/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test job-controller Normal SuccessfulCreate Created pod: e2e-pvc-model-download-56zqx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:59 kserve-ci-e2e-test job-controller Normal Completed Job completed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test persistentvolume-controller Normal WaitForFirstConsumer waiting for first consumer to be created before binding [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test ebs.csi.aws.com_aws-ebs-csi-driver-controller-9d764c8fc-b8b68_15d9f319-9fea-45cb-9a62-e06c0ecd94e3 Normal Provisioning External provisioner is provisioning volume for claim "kserve-ci-e2e-test/e2e-pvc-model-storage" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test persistentvolume-controller Normal ExternalProvisioning Waiting for a volume to be created either by the external provisioner 'ebs.csi.aws.com' or manually by the system administrator. If volume creation is delayed, please verify that the provisioner is running and correctly registered. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:43 kserve-ci-e2e-test ebs.csi.aws.com_aws-ebs-csi-driver-controller-9d764c8fc-b8b68_15d9f319-9fea-45cb-9a62-e06c0ecd94e3 Normal ProvisioningSucceeded Successfully provisioned volume pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.26/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.145s (1.145s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.559s (1.559s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfcs8rwt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfcs8rwt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" in 818ms (818ms including waiting). Image size: 44914394 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.40:8001/health": dial tcp 10.133.0.40:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-56wr5zk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-56wr5zk to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.41:8000/health": dial tcp 10.133.0.41:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-567d677454 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:47 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:25 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:32 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-50bc673d] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.36:8000/health": dial tcp 10.133.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.36:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:21 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:22 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:53:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8-v6swg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:34 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.39:8000/health": dial tcp 10.133.0.39:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.39:8000/health": context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8-v6swg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheldc7v [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-64fbddf8c7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheldc7v to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.58/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:34 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:34 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-7ca60146] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.42:8000/health": dial tcp 10.133.0.42:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-675579c8d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.59/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test05addb65ba05195619f26ef266e8fc04-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:34 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-ba4d693a] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drpwfj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drpwfj to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:15 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.47:8000/health": dial tcp 10.133.0.47:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.47:8000/health": dial tcp 10.133.0.47:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:11 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-59b9d263-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-59b9d263-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv8bf079eb6eda4debfb4ef5bb7817824c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testc9569cf4801efc0ed27b2f25ffaee875-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv8bf079eb6eda4debfb4ef5bb7817824c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:18 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-pvc-router-manage-59b9d263] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testc9569cf4801efc0ed27b2f25ffaee875-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-6lhgz to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.48:8001/health": dial tcp 10.133.0.48:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-6lhgz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79j2ktf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79j2ktf to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.49:8000/health": dial tcp 10.133.0.49:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79497db4cc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-e8706282-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-e8706282-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testf5d060a5eb39a04e074b78907a1556a6-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:45 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:41 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:35:17 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.132.0.50:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:35 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc44d181485fad85e662eb092f3749502f-kserve-router-sche9pp2k to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc44d181485fad85e662eb092f3749502f-kserve-router-sche9pp2k [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc44d181485fad85e662eb092f3749502f-kserve-router-scheduler-687c686d6f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-schec5q4c to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.62/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:15 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drpwfj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-schec5q4c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-scheduler-5f555d4d85 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:24 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.274s (1.274s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-577ddf46cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche47hxd to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.63/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-6lhgz, llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79j2ktf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche47hxd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler-67b4bb9646 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.55/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 5.991s (5.991s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.588s (1.588s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 29.738s (29.738s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:41 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-7d9475576c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7dbc9b54cf from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:02 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-k7wrt to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-lzjqc to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:55 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.49:15021/healthz/ready": dial tcp 10.132.0.49:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: HTTP probe failed with statuscode: 503 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-szvtg to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.57/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.57:15021/healthz/ready": dial tcp 10.132.0.57:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-szvtg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-5pb7c to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.56/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:02 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-c7gts to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.54/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:28 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-w858r to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.46:15021/healthz/ready": context deadline exceeded (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-znbzj to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-5pb7c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-5pb7c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-799f46c59b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-54c47cdfc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-799f46c59b from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-54c47cdfc7 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test GatewayAuthBootstrap Warning ReconcileError Failed to delete gateway PodMonitor: failed to delete PodMonitor: podmonitors.monitoring.coreos.com "router-gateway-1-metrics" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-2-openshift-default-54c789bdc6-dcptk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.60/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-2-openshift-default-54c789bdc6-dcptk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-2-openshift-default-54c789bdc6-dcptk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-2-openshift-default-684dc9b4b9-csj4h to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:19 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" in 2.691s (2.691s including waiting). Image size: 181251556 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:35 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.134.0.36:15021/healthz/ready": dial tcp 10.134.0.36:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-2-openshift-default-684dc9b4b9-csj4h [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-2-openshift-default-54c789bdc6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-2-openshift-default-684dc9b4b9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:17 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-2-openshift-default-54c789bdc6 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-5f979f544b-kp47g to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:23:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.45:8001/health": dial tcp 10.133.0.45:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-5f979f544b-kp47g [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-prefill-6d4d59d7f9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-router-scheduler-76979bbb9f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-5f979f544b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-75b6f7579f-8kmql to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.38:8000/health": dial tcp 10.133.0.38:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-75b6f7579f-8kmql [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler-6c88bfdb46-bgdv5 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:17 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:17 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-router-scheduler-6c88bfdb46-bgdv5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-router-scheduler-6c88bfdb46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-75b6f7579f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:25 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:16 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [router-with-refs-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod router-with-refs-pd-test-kserve-5f979f544b-kp47g (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'llm-d-routing-sidecar' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 Flag --decoder-use-tls has been deprecated, use --enable-tls=decoder instead [e2e-llm-inference-service] Flag --prefiller-use-tls has been deprecated, use --enable-tls=prefiller instead [e2e-llm-inference-service] {"level":"info","ts":1783977708.5606706,"msg":"Proxy starting","Built on":"v0.9.0-rc.2","From Git SHA":"181aa8358916e19b8844ccc752b2d6153d4b2ad6"} [e2e-llm-inference-service] {"level":"info","ts":1783977708.560694,"msg":"Proxy configuration","config":"{\"Port\":\"8000\",\"KVConnector\":\"nixlv2\",\"ECConnector\":\"\",\"DataParallelSize\":1,\"MaxIdleConnsPerHost\":1024,\"EnablePrefillerSampling\":false,\"PrefillMaxRetries\":0,\"PrefillRetryBackoff\":200000000,\"UseTLSForPrefiller\":true,\"UseTLSForDecoder\":true,\"UseTLSForEncoder\":false,\"InsecureSkipVerifyForPrefiller\":false,\"InsecureSkipVerifyForEncoder\":false,\"InsecureSkipVerifyForDecoder\":false,\"SecureServing\":true,\"CertPath\":\"/var/run/kserve/tls\",\"MooncakeBootstrapPort\":8998,\"EnableSSRFProtection\":true,\"InferencePoolNamespace\":\"kserve-ci-e2e-test\",\"InferencePoolName\":\"router-with-refs-pd-test-inference-pool\",\"PoolGroup\":\"inference.networking.x-k8s.io\",\"DecodeChunkSize\":0,\"Tracing\":false,\"MoRIIOWriteMode\":false,\"MoRIIODecodeNotifyPort\":61005,\"MoRIIODecodeHandshakePort\":6301,\"MoRIIODecodePodIP\":\"\",\"MoRIIOParallelDispatch\":false,\"MoRIIOPrefillHandshakePort\":6301,\"MoRIIOPrefillNotifyPort\":61005,\"MoRIIOTPSize\":1,\"MoRIIODPSize\":1,\"MoRIIORemoteHosts\":null,\"MoRIIODPSizeLocal\":0,\"MoRIIODecodeHosts\":null,\"DecoderURL\":\"https://localhost:8001\"}"} [e2e-llm-inference-service] {"level":"info","ts":1783977708.5620086,"logger":"allowlist-validator","msg":"starting SSRF protection allowlist validator","namespace":"kserve-ci-e2e-test","poolName":"router-with-refs-pd-test-inference-pool","gvr":"inference.networking.x-k8s.io/v1alpha2, Resource=inferencepools"} [e2e-llm-inference-service] {"level":"info","ts":1783977708.6621904,"logger":"allowlist-validator","msg":"allowlist validator started successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783977708.6637778,"logger":"proxy server on port 8000","msg":"server TLS configured"} [e2e-llm-inference-service] {"level":"info","ts":1783977708.6637957,"logger":"proxy server on port 8000","msg":"starting","addr":"[::]:8000"} [e2e-llm-inference-service] {"level":"info","ts":1783977708.905479,"logger":"allowlist-validator","msg":"InferencePool added","name":"router-with-refs-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783977708.9664443,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":0,"targets":{}} [e2e-llm-inference-service] {"level":"info","ts":1783977708.9665546,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":0,"targets":{}} [e2e-llm-inference-service] {"level":"info","ts":1783977709.4568667,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":2,"targets":{"10.133.0.46":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783977709.4776497,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783977710.4686427,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783977714.5008025,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783977715.5026073,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783977718.362414,"logger":"allowlist-validator","msg":"rebuilt 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[e2e-llm-inference-service] {"level":"info","ts":1783978488.5993023,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783978518.5905378,"logger":"allowlist-validator","msg":"InferencePool updated","name":"router-with-refs-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783978518.6006434,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783978518.6006973,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783978548.5911713,"logger":"allowlist-validator","msg":"InferencePool updated","name":"router-with-refs-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783978548.6008296,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783978548.6008894,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783978578.5916476,"logger":"allowlist-validator","msg":"InferencePool updated","name":"router-with-refs-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783978578.6048963,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783978578.6049714,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.133.0.45":{},"10.133.0.46":{},"router-with-refs-pd-test-kserve-5f979f544b-kp47g":{},"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx":{}}} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 21:21:49.817 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 21:21:49.817 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_321c134b-ff3f-4852-91b3-795ba8ee9a05'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/5HHJ6px3_ZRDOG3OxNZMhuycwOk=.a591333512516f58bf2002045dece909a0ccdb8b.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_281137ce-bd60-4389-a397-7b7e9fa5e936'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Xn7B-BWUGOee2Y6hCZtEhtFu4BE=.38c05904caf6e5b9f04ecda5c973d77e6c1da151.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_40b8a7fc-3751-4ea6-ab6f-e6514c7c0d23'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_96a56f8f-57a7-4e79-8045-fe3ab8000e95'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/gPcsVCQDYDHk-_n0G9uADl7PXIM=.61c60ec52ed43038fff0fbbd68b080c94b0d94b4c8458dbd65965f9b17631c89.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_8c543c01-c176-44c7-9856-b6dfbbec1d24'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_99c5f0c6-1bb6-49b7-b09f-8c219bb2509c'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_cfade0b6-8e25-4fc3-9599-2945a083ef33'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Q1p2l2BzM1m6P5jKvr8WTq1TUio=.2d74da6615135c58cf3cf9ad4cb11e7c613ff9e55fe658a47ab83b6c8d1174a9.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_7be3f903-a458-490d-b3c3-4eae7600754b'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_b2d10067-35ee-4a22-9580-3eb9a2fc6c7a'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/a7eHxRFT3OeMBIFg52k2nfj5m7w=.db7090b0c8b34dd957a7e0656c718f978f9203cc874018f37dda44108be5970a.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_307e9d31-3525-4854-9a0f-b19862dc0891'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_29174866-7220-4e34-958f-6841b724691d'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_c0bd9dd8-97c5-4918-b299-ab705c0ac855'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-13 21:21:54.277 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-13 21:21:54.277 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 4.459838123999816 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 (EngineCore pid=70) DEBUG 07-13 21:23:02 [v1/engine/core.py:826] Has DP Coordinator: False, stats publish address: None [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:02 [plugins/__init__.py:44] Available plugins for group vllm.general_plugins: [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:02 [plugins/__init__.py:46] - lora_filesystem_resolver -> vllm.plugins.lora_resolvers.filesystem_resolver:register_filesystem_resolver [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:02 [plugins/__init__.py:46] - lora_hf_hub_resolver -> vllm.plugins.lora_resolvers.hf_hub_resolver:register_hf_hub_resolver [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:02 [plugins/__init__.py:49] All plugins in this group will be loaded. Set `VLLM_PLUGINS` to control which plugins to load. [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:02 [v1/engine/core.py:105] Initializing a V1 LLM engine (v0.19.0) with config: model='/mnt/models', speculative_config=None, tokenizer='/mnt/models', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, decode_context_parallel_size=1, dcp_comm_backend=ag_rs, disable_custom_all_reduce=True, quantization=None, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cpu, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=0, served_model_name=facebook/opt-125m, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'splitting_ops': [], 'compile_mm_encoder': False, 'cudagraph_mm_encoder': False, 'encoder_cudagraph_token_budgets': [], 'encoder_cudagraph_max_images_per_batch': 0, 'compile_sizes': None, 'compile_ranges_endpoints': [2048], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'size_asserts': False, 'alignment_asserts': True, 'scalar_asserts': True, 'dce': True, 'nan_asserts': False, 'epilogue_fusion': True, 'cpp.dynamic_threads': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False}, 'max_cudagraph_capture_size': None, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['input_ids', 'positions', 'intermediate_tensors', 'inputs_embeds'] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['input_ids', 'positions', 'hidden_states', 'input_embeds'] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['input_ids', 'positions', 'intermediate_tensors', 'inputs_embeds'] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['num_tokens_no_spec', 'token_ids_gpu', 'combined_mask'] [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:03 [v1/worker/cpu_worker.py:236] auto thread-binding list (id, physical core): [(4, 0), (5, 1), (6, 2), (7, 3)] [e2e-llm-inference-service] [W713 21:23:03.790398331 utils.cpp:76] Warning: numa_migrate_pages failed. errno: 1 (function init_cpu_threads_env) [e2e-llm-inference-service] [W713 21:23:03.790428308 utils.cpp:103] Warning: NUMA binding: Using MEMBIND policy for memory allocation on the NUMA nodes (0). Memory allocations will be strictly bound to these NUMA nodes. (function init_cpu_threads_env) [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:03 [v1/worker/cpu_worker.py:109] OMP threads binding of Process 70: [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:03 [v1/worker/cpu_worker.py:109] OMP tid: 70, core 4 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:03 [v1/worker/cpu_worker.py:109] OMP tid: 87, core 5 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:03 [v1/worker/cpu_worker.py:109] OMP tid: 88, core 6 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:03 [v1/worker/cpu_worker.py:109] OMP tid: 89, core 7 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:03 [v1/worker/cpu_worker.py:109] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [distributed/parallel_state.py:1356] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.133.0.45:56251 backend=gloo [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:03 [distributed/parallel_state.py:1400] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.133.0.45:56251 backend=gloo [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [distributed/parallel_state.py:1459] Detected 1 nodes in the distributed environment [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:03 [distributed/parallel_state.py:1716] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A, EPLB rank N/A [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [v1/sample/logits_processor/__init__.py:65] No logitsprocs plugins installed (group vllm.logits_processors). [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [model_executor/offloader/base.py:107] Offloader set to NoopOffloader (no offloading). [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:03 [v1/worker/cpu_model_runner.py:71] Starting to load model /mnt/models... [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['input_ids', 'positions', 'intermediate_tensors', 'inputs_embeds'] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [config/compilation.py:1194] enabled custom ops: Counter() [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [config/compilation.py:1195] disabled custom ops: Counter({'vocab_parallel_embedding': 1, 'logits_processor': 1}) [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:03 [model_executor/model_loader/base_loader.py:63] Loading weights on cpu ... [e2e-llm-inference-service] (EngineCore pid=70) Loading pt checkpoint shards: 0% Completed | 0/1 [00:00 [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:12 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:22 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:32 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:39 [compilation/decorators.py:640] saved AOT compiled function to /home/.cache/vllm/torch_compile_cache/torch_aot_compile/86c9c3c579382eef68a98ac1d59b39811ba08abef3b4e90675a32c8dec3d7c90/rank_0_0/model [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:40 [compilation/monitor.py:76] Initial profiling/warmup run took 1.04 s [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:40 [v1/worker/cpu_model_runner.py:92] Warming up done. [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:40 [v1/engine/core.py:283] init engine (profile, create kv cache, warmup model) took 36.98 seconds [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:40 [tokenizers/registry.py:68] Loading CachedHfTokenizer for tokenizer_mode='hf' [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:41 [utils/gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-13 21:23:41 [config/vllm.py:790] Asynchronous scheduling is disabled. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [v1/engine/utils.py:1158] READY from local core engine process 0. [e2e-llm-inference-service] (EngineCore pid=70) WARNING 07-13 21:23:41 [config/vllm.py:859] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:41 [v1/engine/core.py:1158] EngineCore waiting for work. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [v1/metrics/loggers.py:273] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 227 [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:41 [v1/engine/core.py:1158] EngineCore waiting for work. [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-13 21:23:41 [v1/engine/core.py:1158] EngineCore waiting for work. [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/openai/api_server.py:590] Supported tasks: ['generate'] [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/base.py:197] Warming up chat template processing... [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] Failed to load AutoTokenizer chat template for /mnt/models [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] Traceback (most recent call last): [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/vllm/renderers/hf.py", line 120, in resolve_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] return tokenizer.get_chat_template(chat_template, tools=tools) [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/transformers/tokenization_utils_base.py", line 1825, in get_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] raise ValueError( [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] ValueError: Cannot use chat template functions because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:141] There is no chat template fallback for /mnt/models [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [renderers/hf.py:314] Detected the chat template content format to be 'string'. You can set `--chat-template-content-format` to override this. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] Failed to load AutoTokenizer chat template for /mnt/models [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] Traceback (most recent call last): [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/vllm/renderers/hf.py", line 120, in resolve_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] return tokenizer.get_chat_template(chat_template, tools=tools) [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/transformers/tokenization_utils_base.py", line 1825, in get_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] raise ValueError( [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/hf.py:122] ValueError: Cannot use chat template functions because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:41 [renderers/base.py:205] This model does not support chat template. [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/openai/api_server.py:594] Starting vLLM server on https://0.0.0.0:8001 [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:37] Available routes are: [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /openapi.json, Methods: GET, HEAD [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /docs, Methods: GET, HEAD [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /redoc, Methods: GET, HEAD [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /tokenize, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /detokenize, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /load, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /version, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /health, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /metrics, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/models, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /ping, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /ping, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /invocations, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/chat/completions, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/chat/completions/batch, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/responses, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/completions, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/messages, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/messages/count_tokens, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /inference/v1/generate, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /scale_elastic_ep, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/chat/completions/render, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/launcher.py:46] Route: /v1/completions/render, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO: Started server process [1] [e2e-llm-inference-service] (APIServer pid=1) INFO: Waiting for application startup. [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:23:41 [entrypoints/ssl.py:60] SSLCertRefresher monitors files: ['/var/run/kserve/tls/tls.key', '/var/run/kserve/tls/tls.crt'] [e2e-llm-inference-service] (APIServer pid=1) INFO: Application startup complete. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:23:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:24:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:24:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:24:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:24:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:24:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:24:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:25:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:25:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:25:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:25:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:25:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:25:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:26:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:26:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:26:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:26:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:26:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:26:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:27:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:27:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:27:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:27:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:27:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:27:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:28:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:28:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:28:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:28:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:28:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:28:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:29:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:30:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:31:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:32:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:33:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:33:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:33:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:33:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:33:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:33:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:34:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:34:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:34:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:34:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:34:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:34:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:35:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:35:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:35:22 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:35:32 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:35:42 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:35:52 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:36:02 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-13 21:36:12 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 21:21:48.808 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 21:21:48.808 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_35e29747-6851-46f0-a31b-877f065f65a8'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/5HHJ6px3_ZRDOG3OxNZMhuycwOk=.a591333512516f58bf2002045dece909a0ccdb8b.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_2bfa2e71-8f18-45fb-95d7-e158d79cc879'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Xn7B-BWUGOee2Y6hCZtEhtFu4BE=.38c05904caf6e5b9f04ecda5c973d77e6c1da151.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_6af6ddf3-1c2c-4c20-bb53-1f1af6a65d61'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_42c3fc3c-625f-4aae-9fae-6a6b1eb138f2'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/gPcsVCQDYDHk-_n0G9uADl7PXIM=.61c60ec52ed43038fff0fbbd68b080c94b0d94b4c8458dbd65965f9b17631c89.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_6369985c-76c2-4351-b694-f4fa4bfeec96'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_0e744677-f596-4306-b5ef-27c1ef99cc25'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_485f3559-e461-471d-8e36-77a8f02abba9'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Q1p2l2BzM1m6P5jKvr8WTq1TUio=.2d74da6615135c58cf3cf9ad4cb11e7c613ff9e55fe658a47ab83b6c8d1174a9.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_0550ba93-beaf-4fa1-9ebb-cd34949bd725'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_f4fc62d4-140c-445c-9d1a-56a12e9ec70f'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:204 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': 'a617cb10-8662-473e-a56c-5d32693f03d1', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Mon, 13 Jul 2026 21:36:21 GMT', 'Content-Length': '238'}) [e2e-llm-inference-service] HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"container \"main\" in pod \"router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx\" is waiting to start: PodInitializing","reason":"BadRequest","code":400} [e2e-llm-inference-service] [e2e-llm-inference-service] ) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 21:21:49.617 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 21:21:49.618 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-13 21:21:49.618 1 storage.initializer INFO [kserve_storage.py:download():169] Allow patterns: ['tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json', 'vocab.json', 'merges.txt', 'config.json', 'generation_config.json'] [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_9f94291e-84b9-41cf-bf68-0888979a426a'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_3642b821-d154-4bbf-a60b-e6292e63b5b6'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_6e387b52-ab93-48aa-8919-6fdc1ac04127'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_20fd09e7-3654-4534-9761-cba21125c5fd'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_a6b22ddf-ae98-4f6f-8708-6856785f1a1d'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_b0e365b8-ceb3-4c45-ad1b-a4c95857dd51'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-13 21:21:50.092 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-13 21:21:50.092 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.4746367160000773 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783977710.2830536,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783977710.2835462,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: disagg-headers-handler\n- type: prefill-filter\n- type: decode-filter\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\n- type: always-disagg-pd-decider\n- parameters:\n deciders:\n prefill: always-disagg-pd-decider\n type: disagg-profile-handler\nschedulingProfiles:\n- name: prefill\n plugins:\n - pluginRef: prefill-filter\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n- name: decode\n plugins:\n - pluginRef: decode-filter\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"router-with-refs-pd-test-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783977710.283926,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.2845407,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.284595,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: disagg-headers-handler} {Type: prefill-filter} {Type: decode-filter} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker} {Type: always-disagg-pd-decider} {Type: disagg-profile-handler, Parameters: {\"deciders\":{\"prefill\":\"always-disagg-pd-decider\"}}}], SchedulingProfiles: [{Name: prefill, Plugins: [{PluginRef: prefill-filter} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]} {Name: decode, Plugins: [{PluginRef: decode-filter} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.2846122,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.28494,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"disagg-headers-handler","parameters":null,"type":"disagg-headers-handler"},{"name":"prefill-filter","parameters":null,"type":"prefill-filter"},{"name":"decode-filter","parameters":null,"type":"decode-filter"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"},{"name":"always-disagg-pd-decider","parameters":null,"type":"always-disagg-pd-decider"},{"name":"disagg-profile-handler","parameters":{"deciders":{"prefill":"always-disagg-pd-decider"}},"type":"disagg-profile-handler"}],"schedulingProfiles":[{"name":"prefill","plugins":[{"pluginRef":"prefill-filter","weight":null},{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]},{"name":"decode","plugins":[{"pluginRef":"decode-filter","weight":null},{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3006845,"caller":"disagg/disagg_profile_handler.go:186","msg":"No deciders.encode configured, E disaggregation disabled"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.300749,"logger":"utilization-detector/utilization-detector","caller":"utilization/detector.go:83","msg":"Creating new UtilizationDetector","queueDepthThreshold":5,"kvCacheUtilThreshold":0.8,"metricsStalenessThreshold":"200ms","headroom":0} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3008316,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3008647,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3009,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3009665,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton-tensorrt-llm","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3009877,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3010406,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: disagg-headers-handler, Type: disagg-headers-handler} {Name: prefill-filter, Type: prefill-filter} {Name: decode-filter, Type: decode-filter} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: always-disagg-pd-decider, Type: always-disagg-pd-decider} {Name: disagg-profile-handler, Type: disagg-profile-handler, Parameters: {\"deciders\":{\"prefill\":\"always-disagg-pd-decider\"}}} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: prefill, Plugins: [{PluginRef: prefill-filter} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]} {Name: decode, Plugins: [{PluginRef: decode-filter} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3011203,"caller":"approximateprefix/plugin.go:88","msg":"Prefix DataProducer initialized","config":{"autoTune":true,"blockSizeTokens":16,"blockSize":0,"maxPrefixBlocksToMatch":2048,"maxPrefixTokensToMatch":131072,"lruCapacityPerServer":31250}} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3011816,"caller":"approximateprefix/plugin.go:111","msg":"WARNING: configured blockSizeTokens is below the recommended minimum, overriding it.","blockSizeTokens":16,"minimum":64,"issue":"https://github.com/llm-d/llm-d-router/issues/1158"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3012033,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"approx-prefix-cache-producer/approx-prefix-cache-producer","dataKey":"PrefixCacheMatchInfoDataKey/approx-prefix-cache-producer","consumer":"disagg-profile-handler"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3012192,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"token-producer/token-producer","dataKey":"TokenizedPrompt/token-producer","consumer":"disagg-profile-handler"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.301318,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3013535,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: disagg-profile-handler/disagg-profile-handler, Profiles: map[decode:{Filters: [decode-filter/by-label], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker} prefill:{Filters: [prefill-filter/by-label], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0009809c0 DataConfig:{Sources:[{Plugin:0xc0004bd170 Extractors:[0xc000980bc0]}]} FlowControlConfig: ParserRegistry:0xc0009811c0}"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3160496,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3160832,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.316101,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3161087,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3161132,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.316118,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3161225,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3161268,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3161309,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3161356,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.31614,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3161445,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3161564,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3161616,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: disagg-profile-handler/disagg-profile-handler, Profiles: map[decode:{Filters: [decode-filter/by-label], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker} prefill:{Filters: [prefill-filter/by-label], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3161926,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3162022,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3162172,"logger":"setup","caller":"datalayer/runtime.go:147","msg":"Source configured","source":"metrics-data-source","extractors":["core-metrics-extractor/core-metrics-extractor"]} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3162315,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3162398,"logger":"setup","caller":"runner/runner.go:833","msg":"Experimental Flow Control layer is disabled, using legacy admission control"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3163438,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3163543,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3163748,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3165736,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3166559,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3167768,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3169029,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","source":"kind source: *v1.InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3169487,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.316973,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"pod","controllerGroup":"","controllerKind":"Pod","source":"kind source: *v1.Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3171878,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3175952,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3176634,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783977710.321641,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3217936,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3219335,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.3242857,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.4175146,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.4175274,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.4175243,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.4175637,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783977710.4175787,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783977710.4175541,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783977710.4177125,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"router-with-refs-pd-test-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"router-with-refs-pd-test-inference-pool","reconcileID":"19ca997b-e11e-4f78-a3b7-71b399408a26"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.5174654,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783977710.5175107,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783977828.3758159,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"router-with-refs-pd-test-kserve-5f979f544b-kp47g","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"router-with-refs-pd-test-kserve-5f979f544b-kp47g","reconcileID":"880b1323-e752-4349-835b-178c4281570d"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 1794a794-f68a-4806-99ff-163831301ae5 [e2e-llm-inference-service] resourceVersion: '58148' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.134.0.37 [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg [e2e-llm-inference-service] uid: cb373e21-e023-4a65-b778-fcea705ff046 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ada910cc-b04c-4f09-b16a-0b627f03b512 [e2e-llm-inference-service] resourceVersion: '59246' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.133.0.45 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-5f979f544b-kp47g [e2e-llm-inference-service] uid: 161d2271-9a70-4114-adfa-56c7ea6e55b0 [e2e-llm-inference-service] notReadyAddresses: [e2e-llm-inference-service] - ip: 10.133.0.46 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx [e2e-llm-inference-service] uid: 80b8f42a-61ec-4e4c-a33d-704f89f077cb [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-5f979f544b-kp47g [e2e-llm-inference-service] generateName: router-with-refs-pd-test-kserve-5f979f544b- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 161d2271-9a70-4114-adfa-56c7ea6e55b0 [e2e-llm-inference-service] resourceVersion: '59242' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] pod-template-hash: 5f979f544b [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.45/23"],"mac_address":"0a:58:0a:85:00:2d","gateway_ips":["10.133.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.133.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.133.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.133.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.133.0.1"}],"ip_address":"10.133.0.45/23","gateway_ip":"10.133.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.133.0.45\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:2d\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-5f979f544b [e2e-llm-inference-service] uid: 21accf9c-727f-417d-911d-c60495cfcc5d [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"21accf9c-727f-417d-911d-c60495cfcc5d"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8001,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"llm-d-routing-sidecar"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAMESPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fieldRef: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: ip-10-0-140-147 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.45"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-8jcx6 [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/pd-sidecar [e2e-llm-inference-service] - --port=8000 [e2e-llm-inference-service] - --vllm-port=8001 [e2e-llm-inference-service] - --kv-connector=nixlv2 [e2e-llm-inference-service] - --enable-ssrf-protection=true [e2e-llm-inference-service] - --pool-group=inference.networking.x-k8s.io [e2e-llm-inference-service] - --inference-pool=kserve-ci-e2e-test/router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] - --secure-proxy=true [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] - --decoder-use-tls=true [e2e-llm-inference-service] - --prefiller-use-tls=true [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: INFERENCE_POOL_NAMESPACE [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] - name: INFERENCE_POOL_NAME [e2e-llm-inference-service] value: router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] resources: {} [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kube-api-access-8jcx6 [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 10 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-8jcx6 [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\" \\\n --port 8001\ [e2e-llm-inference-service] \ \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh\ [e2e-llm-inference-service] \ \\\n --ssl-certfile /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8001 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-8jcx6 [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 180 [e2e-llm-inference-service] timeoutSeconds: 30 [e2e-llm-inference-service] periodSeconds: 30 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 8 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8001 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: router-with-refs-pd-test-kserve [e2e-llm-inference-service] serviceAccount: router-with-refs-pd-test-kserve [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: router-with-refs-pd-test-kserve-dockercfg-dmrtz [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:54Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] hostIP: 10.0.140.147 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.147 [e2e-llm-inference-service] podIP: 10.133.0.45 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.45 [e2e-llm-inference-service] startTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-disagg-sidecar@sha256:1ec2c035216ea0a4f8a6f7ccda55398fc3d9f71f487c135f49ba0dea08163f12 [e2e-llm-inference-service] containerID: cri-o://9b0d566a7847ffca5810b6a64ae88841913ca8fac9b8d4e6b549cb85d7a5e6a0 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] resources: {} [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-8jcx6 [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] finishedAt: '2026-07-13T21:21:54Z' [e2e-llm-inference-service] containerID: cri-o://f6bf8abc3c4b7f418cd96527252168403ba85a99ae085c522397e78d81f9026a [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://f6bf8abc3c4b7f418cd96527252168403ba85a99ae085c522397e78d81f9026a [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-8jcx6 [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T21:21:54Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo@sha256:afb39fca138b51d019d986229d546531b45a2a3deb73bcf59bd42406e13fbba0 [e2e-llm-inference-service] containerID: cri-o://4071d3ca94ad7a1bcbadfbdf120c3fbb289987470048d151ac1334cb654b68c8 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-8jcx6 [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx [e2e-llm-inference-service] generateName: router-with-refs-pd-test-kserve-prefill-6d4d59d7f9- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 80b8f42a-61ec-4e4c-a33d-704f89f077cb [e2e-llm-inference-service] resourceVersion: '57696' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] pod-template-hash: 6d4d59d7f9 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.46/23"],"mac_address":"0a:58:0a:85:00:2e","gateway_ips":["10.133.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.133.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.133.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.133.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.133.0.1"}],"ip_address":"10.133.0.46/23","gateway_ip":"10.133.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.133.0.46\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:2e\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-prefill-6d4d59d7f9 [e2e-llm-inference-service] uid: 8e5a441d-2c46-4601-8d18-50cfef959554 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"8e5a441d-2c46-4601-8d18-50cfef959554"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: ip-10-0-140-147 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.46"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-4pkpd [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-4pkpd [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-4pkpd [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 180 [e2e-llm-inference-service] timeoutSeconds: 30 [e2e-llm-inference-service] periodSeconds: 30 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 8 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: File [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Pending [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] reason: ContainersNotInitialized [e2e-llm-inference-service] message: 'containers with incomplete status: [storage-initializer]' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [main]' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [main]' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] hostIP: 10.0.140.147 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.147 [e2e-llm-inference-service] podIP: 10.133.0.46 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.46 [e2e-llm-inference-service] startTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://e8d4a11dea95d01c1c5e7a7f31cb0ed9f73dfd42feb26e6d81d7d486978ea2b4 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-4pkpd [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] waiting: [e2e-llm-inference-service] reason: PodInitializing [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: '' [e2e-llm-inference-service] started: false [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-4pkpd [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg [e2e-llm-inference-service] generateName: router-with-refs-pd-test-kserve-router-scheduler-76979bbb9f- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: cb373e21-e023-4a65-b778-fcea705ff046 [e2e-llm-inference-service] resourceVersion: '58145' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76979bbb9f [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.37/23"],"mac_address":"0a:58:0a:86:00:25","gateway_ips":["10.134.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.134.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.134.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.134.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.134.0.1"}],"ip_address":"10.134.0.37/23","gateway_ip":"10.134.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.134.0.37\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:25\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-router-scheduler-76979bbb9f [e2e-llm-inference-service] uid: e3640036-8695-485e-9c19-f5a3085bbbaa [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-139 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"e3640036-8695-485e-9c19-f5a3085bbbaa"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.37"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-kln2t [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-kln2t [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: disagg-headers-handler\n- type: prefill-filter\n- type: decode-filter\n\ [e2e-llm-inference-service] - type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - type: always-disagg-pd-decider\n- parameters:\n deciders:\n prefill:\ [e2e-llm-inference-service] \ always-disagg-pd-decider\n type: disagg-profile-handler\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: prefill\n plugins:\n - pluginRef: prefill-filter\n - pluginRef: queue-scorer\n\ [e2e-llm-inference-service] \ weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef:\ [e2e-llm-inference-service] \ max-score-picker\n- name: decode\n plugins:\n - pluginRef: decode-filter\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-kln2t [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] serviceAccount: router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: router-with-refs-pd-test-epp-sa-dockercfg-7q7pw [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:50Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:50Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] hostIP: 10.0.140.139 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.139 [e2e-llm-inference-service] podIP: 10.134.0.37 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.37 [e2e-llm-inference-service] startTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] finishedAt: '2026-07-13T21:21:50Z' [e2e-llm-inference-service] containerID: cri-o://5f8bb14a278045ebaa962a5e8ac4cba5e6311fdb4e8b3ae01437bc8ac040079c [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://5f8bb14a278045ebaa962a5e8ac4cba5e6311fdb4e8b3ae01437bc8ac040079c [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-kln2t [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T21:21:50Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://59ca7010b4d70ddd536669e9d87cdae5f3054a469533240b1ea67c1f934afa1a [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-kln2t [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e452d2bf-dfcf-4e29-9b36-d3e50792e7e7 [e2e-llm-inference-service] resourceVersion: '57610' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: router-with-refs-pd-test-epp-sa-dockercfg-7q7pw [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: openshift.io/image-registry-pull-secrets_service-account-controller [e2e-llm-inference-service] operation: Apply [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"router-with-refs-pd-test-epp-sa-dockercfg-7q7pw"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-559w9"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: router-with-refs-pd-test-epp-sa-dockercfg-7q7pw [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: router-with-refs-pd-test-epp-sa-dockercfg-7q7pw [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: bad770f2-7d4c-4940-b353-8df6073368a7 [e2e-llm-inference-service] resourceVersion: '57567' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: router-with-refs-pd-test-kserve-dockercfg-dmrtz [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: openshift.io/image-registry-pull-secrets_service-account-controller [e2e-llm-inference-service] operation: Apply [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"router-with-refs-pd-test-kserve-dockercfg-dmrtz"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-559w9"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: router-with-refs-pd-test-kserve-dockercfg-dmrtz [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: router-with-refs-pd-test-kserve-dockercfg-dmrtz [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 1b6d320e-72d7-4cae-878a-4cc9a4cfff67 [e2e-llm-inference-service] resourceVersion: '57655' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.246.85 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.246.85 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 7841a8ff-b649-4230-bbd4-330926e61596 [e2e-llm-inference-service] resourceVersion: '57597' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.158.196 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.158.196 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 7bee7618-bc73-4135-bbf2-e820a6f908cb [e2e-llm-inference-service] resourceVersion: '59249' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8001,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"llm-d-routing-sidecar"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAMESPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fieldRef: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/pd-sidecar [e2e-llm-inference-service] - --port=8000 [e2e-llm-inference-service] - --vllm-port=8001 [e2e-llm-inference-service] - --kv-connector=nixlv2 [e2e-llm-inference-service] - --enable-ssrf-protection=true [e2e-llm-inference-service] - --pool-group=inference.networking.x-k8s.io [e2e-llm-inference-service] - --inference-pool=kserve-ci-e2e-test/router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] - --secure-proxy=true [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] - --decoder-use-tls=true [e2e-llm-inference-service] - --prefiller-use-tls=true [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: INFERENCE_POOL_NAMESPACE [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] - name: INFERENCE_POOL_NAME [e2e-llm-inference-service] value: router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] resources: {} [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 10 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8001 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8001 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 180 [e2e-llm-inference-service] timeoutSeconds: 30 [e2e-llm-inference-service] periodSeconds: 30 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 8 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8001 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: router-with-refs-pd-test-kserve [e2e-llm-inference-service] serviceAccount: router-with-refs-pd-test-kserve [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "router-with-refs-pd-test-kserve-5f979f544b" has successfully [e2e-llm-inference-service] progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-prefill [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 10967d71-5b79-496c-a306-eab4582e7fde [e2e-llm-inference-service] resourceVersion: '65634' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:31:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:unavailableReplicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n\ [e2e-llm-inference-service] \ ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh \\\n --ssl-certfile\ [e2e-llm-inference-service] \ /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 180 [e2e-llm-inference-service] timeoutSeconds: 30 [e2e-llm-inference-service] periodSeconds: 30 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 8 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: File [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] unavailableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:31:49Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:31:49Z' [e2e-llm-inference-service] reason: ProgressDeadlineExceeded [e2e-llm-inference-service] message: ReplicaSet "router-with-refs-pd-test-kserve-prefill-6d4d59d7f9" has timed [e2e-llm-inference-service] out progressing. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ff674225-877f-4971-b032-aa97213d335c [e2e-llm-inference-service] resourceVersion: '58151' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: disagg-headers-handler\n- type: prefill-filter\n- type:\ [e2e-llm-inference-service] \ decode-filter\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type:\ [e2e-llm-inference-service] \ max-score-picker\n- type: always-disagg-pd-decider\n- parameters:\n \ [e2e-llm-inference-service] \ deciders:\n prefill: always-disagg-pd-decider\n type: disagg-profile-handler\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: prefill\n plugins:\n - pluginRef: prefill-filter\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n- name: decode\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: decode-filter\n - pluginRef: queue-scorer\n weight:\ [e2e-llm-inference-service] \ 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] serviceAccount: router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: Recreate [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "router-with-refs-pd-test-kserve-router-scheduler-76979bbb9f" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-5f979f544b [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 21accf9c-727f-417d-911d-c60495cfcc5d [e2e-llm-inference-service] resourceVersion: '59247' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] pod-template-hash: 5f979f544b [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve [e2e-llm-inference-service] uid: 7bee7618-bc73-4135-bbf2-e820a6f908cb [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7bee7618-bc73-4135-bbf2-e820a6f908cb"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8001,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"llm-d-routing-sidecar"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAMESPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fieldRef: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] pod-template-hash: 5f979f544b [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] pod-template-hash: 5f979f544b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/pd-sidecar [e2e-llm-inference-service] - --port=8000 [e2e-llm-inference-service] - --vllm-port=8001 [e2e-llm-inference-service] - --kv-connector=nixlv2 [e2e-llm-inference-service] - --enable-ssrf-protection=true [e2e-llm-inference-service] - --pool-group=inference.networking.x-k8s.io [e2e-llm-inference-service] - --inference-pool=kserve-ci-e2e-test/router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] - --secure-proxy=true [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] - --decoder-use-tls=true [e2e-llm-inference-service] - --prefiller-use-tls=true [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: INFERENCE_POOL_NAMESPACE [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] - name: INFERENCE_POOL_NAME [e2e-llm-inference-service] value: router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] resources: {} [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 10 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8001 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8001 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 180 [e2e-llm-inference-service] timeoutSeconds: 30 [e2e-llm-inference-service] periodSeconds: 30 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 8 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8001 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: router-with-refs-pd-test-kserve [e2e-llm-inference-service] serviceAccount: router-with-refs-pd-test-kserve [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-prefill-6d4d59d7f9 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 8e5a441d-2c46-4601-8d18-50cfef959554 [e2e-llm-inference-service] resourceVersion: '57618' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] pod-template-hash: 6d4d59d7f9 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-prefill [e2e-llm-inference-service] uid: 10967d71-5b79-496c-a306-eab4582e7fde [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"10967d71-5b79-496c-a306-eab4582e7fde"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] pod-template-hash: 6d4d59d7f9 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] pod-template-hash: 6d4d59d7f9 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n\ [e2e-llm-inference-service] \ ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh \\\n --ssl-certfile\ [e2e-llm-inference-service] \ /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 180 [e2e-llm-inference-service] timeoutSeconds: 30 [e2e-llm-inference-service] periodSeconds: 30 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 8 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: File [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-router-scheduler-76979bbb9f [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e3640036-8695-485e-9c19-f5a3085bbbaa [e2e-llm-inference-service] resourceVersion: '58150' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76979bbb9f [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-router-scheduler [e2e-llm-inference-service] uid: ff674225-877f-4971-b032-aa97213d335c [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ff674225-877f-4971-b032-aa97213d335c"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76979bbb9f [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76979bbb9f [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: disagg-headers-handler\n- type: prefill-filter\n- type:\ [e2e-llm-inference-service] \ decode-filter\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type:\ [e2e-llm-inference-service] \ max-score-picker\n- type: always-disagg-pd-decider\n- parameters:\n \ [e2e-llm-inference-service] \ deciders:\n prefill: always-disagg-pd-decider\n type: disagg-profile-handler\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: prefill\n plugins:\n - pluginRef: prefill-filter\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n- name: decode\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: decode-filter\n - pluginRef: queue-scorer\n weight:\ [e2e-llm-inference-service] \ 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] serviceAccount: router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 403111bb-7a96-45a4-925d-890e7d8cc0ab [e2e-llm-inference-service] resourceVersion: '57632' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: b2258878-26a9-443b-ba55-8dfe7c31be5d [e2e-llm-inference-service] resourceVersion: '57579' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 875f6371-2a5a-419e-9a46-e8cad21cef13 [e2e-llm-inference-service] resourceVersion: '57630' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 31361284-478b-4c13-bea0-cee62f1ab3a9 [e2e-llm-inference-service] resourceVersion: '57575' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-service-2tg8b [e2e-llm-inference-service] generateName: router-with-refs-pd-test-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: fab1d448-841b-4f4e-8117-443242e0e5ed [e2e-llm-inference-service] resourceVersion: '58149' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: router-with-refs-pd-test-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-service [e2e-llm-inference-service] uid: 1b6d320e-72d7-4cae-878a-4cc9a4cfff67 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:22:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"1b6d320e-72d7-4cae-878a-4cc9a4cfff67"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.134.0.37 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg [e2e-llm-inference-service] uid: cb373e21-e023-4a65-b778-fcea705ff046 [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-workload-svc-rvwkf [e2e-llm-inference-service] generateName: router-with-refs-pd-test-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f92b1785-fd09-4a3b-b299-bb2c80ab3aba [e2e-llm-inference-service] resourceVersion: '59243' [e2e-llm-inference-service] generation: 4 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] uid: 7841a8ff-b649-4230-bbd4-330926e61596 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:23:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7841a8ff-b649-4230-bbd4-330926e61596"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.133.0.46 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] serving: false [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx [e2e-llm-inference-service] uid: 80b8f42a-61ec-4e4c-a33d-704f89f077cb [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.133.0.45 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-5f979f544b-kp47g [e2e-llm-inference-service] uid: 161d2271-9a70-4114-adfa-56c7ea6e55b0 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 403111bb-7a96-45a4-925d-890e7d8cc0ab [e2e-llm-inference-service] resourceVersion: '57632' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: b2258878-26a9-443b-ba55-8dfe7c31be5d [e2e-llm-inference-service] resourceVersion: '57579' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:router-with-refs-pd-test-kserve [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 875f6371-2a5a-419e-9a46-e8cad21cef13 [e2e-llm-inference-service] resourceVersion: '57630' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 31361284-478b-4c13-bea0-cee62f1ab3a9 [e2e-llm-inference-service] resourceVersion: '57575' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:21:47Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:endpointPickerRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:number: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:matchLabels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPorts: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57675' [e2e-llm-inference-service] uid: dda5d856-bf00-43cd-a52f-7f15c1636c9b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPorts: [e2e-llm-inference-service] - number: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] message: Referenced by an HTTPRoute accepted by the parentRef Gateway [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: router-gateway-2 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:19Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:rules: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:authentication: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:public: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:anonymous: {} [e2e-llm-inference-service] f:credentials: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:overrides: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fairness: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:response: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:success: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:headers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:x-gateway-inference-fairness-id: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:x-gateway-inference-objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:targetRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:19Z' [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Accepted"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Enforced"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:21:23Z' [e2e-llm-inference-service] name: router-route-3-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57240' [e2e-llm-inference-service] uid: 26ba42fc-6f69-4978-b537-b50c69fb8452 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: router-route-3 [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:20Z' [e2e-llm-inference-service] message: AuthPolicy has been accepted [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:23Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:19Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:rules: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:authentication: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:public: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:anonymous: {} [e2e-llm-inference-service] f:credentials: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:overrides: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fairness: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:response: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:success: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:headers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:x-gateway-inference-fairness-id: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:x-gateway-inference-objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:targetRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:19Z' [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Accepted"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Enforced"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:21:23Z' [e2e-llm-inference-service] name: router-route-4-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57239' [e2e-llm-inference-service] uid: 5accf091-2b85-4fdd-af01-44bfd76f529f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: router-route-4 [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:20Z' [e2e-llm-inference-service] message: AuthPolicy has been accepted [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:21:23Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57684' [e2e-llm-inference-service] uid: 868bf979-7f2b-4fb3-a26e-fe3e7dce0b11 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: router-with-refs-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: router-with-refs-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57713' [e2e-llm-inference-service] uid: 3480a49c-bc83-4cb8-b426-e0566d4b6c3a [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: router-with-refs-pd-test-inference-pool-ip-4ae47a7d.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: router-with-refs-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57689' [e2e-llm-inference-service] uid: 2f2cd3fa-5774-40b2-80de-d185878a9928 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: router-with-refs-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: router-with-refs-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57684' [e2e-llm-inference-service] uid: 868bf979-7f2b-4fb3-a26e-fe3e7dce0b11 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: router-with-refs-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: router-with-refs-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57713' [e2e-llm-inference-service] uid: 3480a49c-bc83-4cb8-b426-e0566d4b6c3a [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: router-with-refs-pd-test-inference-pool-ip-4ae47a7d.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: router-with-refs-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57689' [e2e-llm-inference-service] uid: 2f2cd3fa-5774-40b2-80de-d185878a9928 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: router-with-refs-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: router-with-refs-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57684' [e2e-llm-inference-service] uid: 868bf979-7f2b-4fb3-a26e-fe3e7dce0b11 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: router-with-refs-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: router-with-refs-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57713' [e2e-llm-inference-service] uid: 3480a49c-bc83-4cb8-b426-e0566d4b6c3a [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: router-with-refs-pd-test-inference-pool-ip-4ae47a7d.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: router-with-refs-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:49Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57689' [e2e-llm-inference-service] uid: 2f2cd3fa-5774-40b2-80de-d185878a9928 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: router-with-refs-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: router-with-refs-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"89cfdca4-ccc0-4185-865c-3b53dc4c20ae"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:extensionRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:portNumber: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPortNumber: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:21:48Z' [e2e-llm-inference-service] name: router-with-refs-pd-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: router-with-refs-pd-test [e2e-llm-inference-service] uid: 89cfdca4-ccc0-4185-865c-3b53dc4c20ae [e2e-llm-inference-service] resourceVersion: '57673' [e2e-llm-inference-service] uid: 69e581ba-81ef-4231-a649-3146c1ea9f0d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: router-with-refs-pd-test-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-5f979f544b-kp47g [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] pod-template-hash: 5f979f544b [e2e-llm-inference-service] timestamp: '2026-07-13T21:36:05Z' [e2e-llm-inference-service] window: 28.818s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 101775869n [e2e-llm-inference-service] memory: 2406112Ki [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 16149150n [e2e-llm-inference-service] memory: 20888Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: router-with-refs-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76979bbb9f [e2e-llm-inference-service] timestamp: '2026-07-13T21:36:18Z' [e2e-llm-inference-service] window: 15.287s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 56771047n [e2e-llm-inference-service] memory: 31192Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_inference_service] [2026-07-13T21:36:22.358012] end - ❌ 904.190s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'GatewaysReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:23:48Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:22:22Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:21:57Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] _ test_llm_inference_service[router-no-scheduler-workload-single-cpu-model-fb-opt-125m] _ [e2e-llm-inference-service] [gw0] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-no-scheduler', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='What is KServe?', serv... {'name': 'model-fb-opt-125m-llmisvc-model-7a2ca70d'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] > wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:812: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...c-mod-5c1136e5'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-llmisvc-model-7a2ca70d'}]}, [e2e-llm-inference-service] 'status': None}, 900) [e2e-llm-inference-service] kwargs = {}, func_name = 'wait_for_llm_isvc_ready' [e2e-llm-inference-service] timestamp_start = '2026-07-13T21:36:22.914688', start_time = 1783978582.9150155 [e2e-llm-inference-service] duration = 900.2256450653076, timestamp_end = '2026-07-13T21:51:23.140681' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] given = {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security....llmisvc-mod-5c1136e5'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-llmisvc-model-7a2ca70d'}]}, [e2e-llm-inference-service] 'status': None} [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] given: V1alpha1LLMInferenceService, [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] return True [e2e-llm-inference-service] [e2e-llm-inference-service] > return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1204: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fb7b5e7c180> [e2e-llm-inference-service] timeout = 900, interval = 1.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] > raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] E AssertionError: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:37:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1199: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-no-scheduler-llmisvc-mod-ff50d279 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-no-scheduler-llmisvc-mod-ff50d279 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-no-scheduler-llmisvc-mod-ff50d279 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-5c1136e5 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-5c1136e5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-5c1136e5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-llmisvc-model-7a2ca70d in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-llmisvc-model-7a2ca70d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-llmisvc-model-7a2ca70d [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-13T21:36:22.748382] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-no-scheduler', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='What is KServe?', service_name='llmisvc-model-fb-opt-125m-route-3c960099', endpoint='/v1/completions', max_tokens=20, payload_formatter=None, response_assertion=, wait_timeout=900, response_timeout=60, extra_headers=None, url_getter=None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-route-3c960099', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-no-scheduler-llmisvc-mod-ff50d279'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-5c1136e5'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-llmisvc-model-7a2ca70d'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-13T21:36:22.761363] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-route-3c960099', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-no-scheduler-llmisvc-mod-ff50d279'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-5c1136e5'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-llmisvc-model-7a2ca70d'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-13T21:36:22.914530] end - ✅ in 0.153s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-13T21:36:22.914688] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-route-3c960099', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-no-scheduler-llmisvc-mod-ff50d279'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-5c1136e5'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-llmisvc-model-7a2ca70d'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:36:43Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-route: v1.HTTPRouteStatus{RouteStatus:v1.RouteStatus{Parents:[]v1.RouteParentStatus(nil)}}]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-route: v1.HTTPRouteStatus{RouteStatus:v1.RouteStatus{Parents:[]v1.RouteParentStatus(nil)}}]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-route: v1.HTTPRouteStatus{RouteStatus:v1.RouteStatus{Parents:[]v1.RouteParentStatus(nil)}}]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:37:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 13: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T21:11:53Z\"}}", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T21:21:30Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 11, "llminferenceservices": 8, "authpolicies": 9} [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 14: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T21:11:53Z\"}}", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T21:21:30Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 11, "llminferenceservices": 8, "authpolicies": 9} [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 15: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T21:11:53Z\"}}", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T21:21:30Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 11, "llminferenceservices": 8, "authpolicies": 9} [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:37:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_llm_isvc_ready] [2026-07-13T21:51:23.140681] end - ❌ 900.226s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:37:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-no-scheduler-workload-single-cpu-model-fb-opt-125m] ❌ ERROR: Failed to call llm inference service llmisvc-model-fb-opt-125m-route-3c960099: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:37:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'llmisvc-model-fb-opt-125m-route-3c960099' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:22Z' [e2e-llm-inference-service] finalizers: [e2e-llm-inference-service] - serving.kserve.io/llmisvc-finalizer [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:security.opendatahub.io/enable-auth: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:baseRefs: {} [e2e-llm-inference-service] manager: OpenAPI-Generator [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:36:22Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:finalizers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] v:"serving.kserve.io/llmisvc-finalizer": {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:36:23Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:37:05Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '70147' [e2e-llm-inference-service] uid: 7ca5efa9-c96b-480b-adf7-ded40b009ced [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-no-scheduler-llmisvc-mod-ff50d279 [e2e-llm-inference-service] - name: workload-single-cpu-llmisvc-mod-5c1136e5 [e2e-llm-inference-service] - name: model-fb-opt-125m-llmisvc-model-7a2ca70d [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external-model-routing [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] - name: gateway-internal-model-routing [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/ [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:37:05Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:37:05Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:36:43Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:37:05Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:37:05Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:37:05Z' [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-8846b76cf-l9hlg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:51:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-8846b76cf-l9hlg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-74b57f8bdb from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-8846b76cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-5dcdbd74bf-fbc4n to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 3.077s (3.077s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-5b85d8b48f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-5dcdbd74bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-6997b7c89-lfxgj to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:19 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 26.952s (26.952s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-6997b7c89-lfxgj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:17 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.541s (1.541s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-5d9b98884c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-6997b7c89 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:35 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-575cb866d6-hg2qq to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.43:8001/health": dial tcp 10.133.0.43:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-575cb866d6-hg2qq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f-6qsfr to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.44:8000/health": dial tcp 10.133.0.44:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f-6qsfr [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-router-scheduler-577dcvrrhd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-router-scheduler-577dcvrrhd to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-router-scheduler-577dc859c9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-575cb866d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-pd-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-pd-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:20 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:20 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:48 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-pd-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-58774698bc-xlk69 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:29:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.37:8000/health": dial tcp 10.133.0.37:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-58774698bc-xlk69 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-f56b95d46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-58774698bc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:57 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:29:49 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/e2e-pvc-model-download-56zqx to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:46 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.61/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test job-controller Normal SuccessfulCreate Created pod: e2e-pvc-model-download-56zqx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:59 kserve-ci-e2e-test job-controller Normal Completed Job completed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test persistentvolume-controller Normal WaitForFirstConsumer waiting for first consumer to be created before binding [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test ebs.csi.aws.com_aws-ebs-csi-driver-controller-9d764c8fc-b8b68_15d9f319-9fea-45cb-9a62-e06c0ecd94e3 Normal Provisioning External provisioner is provisioning volume for claim "kserve-ci-e2e-test/e2e-pvc-model-storage" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test persistentvolume-controller Normal ExternalProvisioning Waiting for a volume to be created either by the external provisioner 'ebs.csi.aws.com' or manually by the system administrator. If volume creation is delayed, please verify that the provisioner is running and correctly registered. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:43 kserve-ci-e2e-test ebs.csi.aws.com_aws-ebs-csi-driver-controller-9d764c8fc-b8b68_15d9f319-9fea-45cb-9a62-e06c0ecd94e3 Normal ProvisioningSucceeded Successfully provisioned volume pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.26/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.145s (1.145s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.559s (1.559s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596-6l2s9 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596-6l2s9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:32 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-3c960099-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-3c960099-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvd10b93c8eba12f87c3a350a5cae2ee0c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:37:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvd10b93c8eba12f87c3a350a5cae2ee0c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfcs8rwt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfcs8rwt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" in 818ms (818ms including waiting). Image size: 44914394 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.40:8001/health": dial tcp 10.133.0.40:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-56wr5zk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-56wr5zk to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.41:8000/health": dial tcp 10.133.0.41:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-567d677454 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:47 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:25 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:32 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-50bc673d] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.36:8000/health": dial tcp 10.133.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.36:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:21 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:22 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:53:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8-v6swg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:34 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.39:8000/health": dial tcp 10.133.0.39:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.39:8000/health": context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8-v6swg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheldc7v [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-64fbddf8c7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheldc7v to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.58/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:34 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:34 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-7ca60146] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.42:8000/health": dial tcp 10.133.0.42:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-675579c8d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.59/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test05addb65ba05195619f26ef266e8fc04-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:34 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-ba4d693a] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:15 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test statefulset-controller Normal SuccessfulCreate create Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 in StatefulSet llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 successful [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:15 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:41:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.51:8000/health": dial tcp 10.133.0.51:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test leaderworkerset Normal CreatingRevision Creating revision with key 686d468674 for a newly created LeaderWorkerSet [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Created leader statefulset llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Replicas are progressing, with 0 groups ready of total 1 groups [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test statefulset-controller Normal SuccessfulCreate create Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 in StatefulSet llmisvc-model-pvc-router-manage-2577e794-kserve-mn successful [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Created worker statefulset for leader pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:41:37 kserve-ci-e2e-test leaderworkerset Normal AllGroupsReady All replicas are ready, with 1 groups ready of total 1 groups [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:07 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-2577e794-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-2577e794-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-scc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.LeaderWorkerSet kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test37591b20e96e9663d45a730d03070f1e-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drpwfj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drpwfj to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:15 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.47:8000/health": dial tcp 10.133.0.47:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.47:8000/health": dial tcp 10.133.0.47:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:11 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-59b9d263-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-59b9d263-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv8bf079eb6eda4debfb4ef5bb7817824c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testc9569cf4801efc0ed27b2f25ffaee875-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv8bf079eb6eda4debfb4ef5bb7817824c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:18 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-pvc-router-manage-59b9d263] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testc9569cf4801efc0ed27b2f25ffaee875-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-6lhgz to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.48:8001/health": dial tcp 10.133.0.48:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-6lhgz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79j2ktf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79j2ktf to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.49:8000/health": dial tcp 10.133.0.49:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.49:8000/health": dial tcp 10.133.0.49:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79497db4cc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-e8706282-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-e8706282-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testf5d060a5eb39a04e074b78907a1556a6-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:32 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-pvc-router-manage-e8706282] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testf5d060a5eb39a04e074b78907a1556a6-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:45 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:41 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:35:17 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.132.0.50:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:35 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schepwlnb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-7dbcb75dbc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schepwlnb to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.64/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:15 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0, llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc44d181485fad85e662eb092f3749502f-kserve-router-sche9pp2k to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc44d181485fad85e662eb092f3749502f-kserve-router-sche9pp2k [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc44d181485fad85e662eb092f3749502f-kserve-router-scheduler-687c686d6f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-schec5q4c to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.62/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:15 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drpwfj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-schec5q4c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-scheduler-5f555d4d85 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:24 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.274s (1.274s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-577ddf46cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche47hxd to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.63/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-6lhgz, llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79j2ktf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche47hxd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler-67b4bb9646 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.55/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 5.991s (5.991s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.588s (1.588s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 29.738s (29.738s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:41 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-7d9475576c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7dbc9b54cf from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:02 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-k7wrt to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-lzjqc to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:55 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.49:15021/healthz/ready": dial tcp 10.132.0.49:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: HTTP probe failed with statuscode: 503 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-szvtg to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.57/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.57:15021/healthz/ready": dial tcp 10.132.0.57:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-szvtg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-5pb7c to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.56/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:02 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-c7gts to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.54/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:28 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-w858r to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.46:15021/healthz/ready": context deadline exceeded (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-znbzj to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-5pb7c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-5pb7c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-799f46c59b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-54c47cdfc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-799f46c59b from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-54c47cdfc7 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test GatewayAuthBootstrap Warning ReconcileError Failed to delete gateway PodMonitor: failed to delete PodMonitor: podmonitors.monitoring.coreos.com "router-gateway-1-metrics" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-2-openshift-default-54c789bdc6-dcptk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.60/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-2-openshift-default-54c789bdc6-dcptk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-2-openshift-default-54c789bdc6-dcptk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-2-openshift-default-684dc9b4b9-csj4h to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:19 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" in 2.691s (2.691s including waiting). Image size: 181251556 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:35 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.134.0.36:15021/healthz/ready": dial tcp 10.134.0.36:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-2-openshift-default-684dc9b4b9-csj4h [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-2-openshift-default-54c789bdc6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-2-openshift-default-684dc9b4b9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:17 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-2-openshift-default-54c789bdc6 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-5f979f544b-kp47g to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:23:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.45:8001/health": dial tcp 10.133.0.45:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-5f979f544b-kp47g [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-prefill-6d4d59d7f9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-router-scheduler-76979bbb9f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-5f979f544b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-75b6f7579f-8kmql to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.38:8000/health": dial tcp 10.133.0.38:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-75b6f7579f-8kmql [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler-6c88bfdb46-bgdv5 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:17 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:17 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-router-scheduler-6c88bfdb46-bgdv5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-router-scheduler-6c88bfdb46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-75b6f7579f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:25 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:16 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [router-with-refs-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596-6l2s9 (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 21:36:43.318 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 21:36:43.319 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_7eb698da-1946-4402-8e8a-227896cfa481'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/5HHJ6px3_ZRDOG3OxNZMhuycwOk=.a591333512516f58bf2002045dece909a0ccdb8b.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_1a0cdd94-353e-4fce-9689-168d958f10a4'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Xn7B-BWUGOee2Y6hCZtEhtFu4BE=.38c05904caf6e5b9f04ecda5c973d77e6c1da151.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_7b6c6328-fef6-431e-b026-43a9f8df1d6b'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_e695819c-9316-40e5-a42e-6e0990b3cc3e'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/gPcsVCQDYDHk-_n0G9uADl7PXIM=.61c60ec52ed43038fff0fbbd68b080c94b0d94b4c8458dbd65965f9b17631c89.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_92933eda-6670-454c-9390-e69892dc502c'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_819903d9-16cf-4bfb-9729-4f402b5925bd'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_74dff698-4cfb-40e4-b3a3-276db0958ec9'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Q1p2l2BzM1m6P5jKvr8WTq1TUio=.2d74da6615135c58cf3cf9ad4cb11e7c613ff9e55fe658a47ab83b6c8d1174a9.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_16c600b2-89cd-4b7f-aff1-9b8a898c338b'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_129bf0a5-3a87-4188-a1e2-33f7f429eb75'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:204 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': '57622db7-acad-4ff4-b396-a1e431ecd60f', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Mon, 13 Jul 2026 21:51:23 GMT', 'Content-Length': '245'}) [e2e-llm-inference-service] HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"container \"main\" in pod \"llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596-6l2s9\" is waiting to start: PodInitializing","reason":"BadRequest","code":400} [e2e-llm-inference-service] [e2e-llm-inference-service] ) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 2e63fe50-dd3c-4e2d-8dc7-dd1d610c0e66 [e2e-llm-inference-service] resourceVersion: '69845' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:36:43Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - notReadyAddresses: [e2e-llm-inference-service] - ip: 10.133.0.50 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596-6l2s9 [e2e-llm-inference-service] uid: 92942f58-4e25-4ee9-b280-2d018424af90 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596-6l2s9 [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 92942f58-4e25-4ee9-b280-2d018424af90 [e2e-llm-inference-service] resourceVersion: '69843' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 8dc569596 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.50/23"],"mac_address":"0a:58:0a:85:00:32","gateway_ips":["10.133.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.133.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.133.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.133.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.133.0.1"}],"ip_address":"10.133.0.50/23","gateway_ip":"10.133.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.133.0.50\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:32\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596 [e2e-llm-inference-service] uid: f25c03e0-70c5-482f-a05f-fe5f477e1620 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-147 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"f25c03e0-70c5-482f-a05f-fe5f477e1620"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:36:43Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.50"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisvd10b93c8eba12f87c3a350a5cae2ee0c-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-wjghz [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-wjghz [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\" \\\n --port 8000\ [e2e-llm-inference-service] \ \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh\ [e2e-llm-inference-service] \ \\\n --ssl-certfile /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-wjghz [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Pending [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:36:43Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] reason: ContainersNotInitialized [e2e-llm-inference-service] message: 'containers with incomplete status: [storage-initializer]' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [main]' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [main]' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] hostIP: 10.0.140.147 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.147 [e2e-llm-inference-service] podIP: 10.133.0.50 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.50 [e2e-llm-inference-service] startTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T21:36:43Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://5103b882b782a16b631ae0e305bb03d664e155409cf85196e9371b748ae4dfd3 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-wjghz [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] waiting: [e2e-llm-inference-service] reason: PodInitializing [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: '' [e2e-llm-inference-service] started: false [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-wjghz [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 76be6691-7f7b-4636-ae04-f870efe3038a [e2e-llm-inference-service] resourceVersion: '69802' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] uid: 7ca5efa9-c96b-480b-adf7-ded40b009ced [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7ca5efa9-c96b-480b-adf7-ded40b009ced"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.42.74 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.42.74 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: d4ed782c-ce0f-450e-b219-c8d6f958e590 [e2e-llm-inference-service] resourceVersion: '77255' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] uid: 7ca5efa9-c96b-480b-adf7-ded40b009ced [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7ca5efa9-c96b-480b-adf7-ded40b009ced"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:46:43Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:unavailableReplicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisvd10b93c8eba12f87c3a350a5cae2ee0c-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] unavailableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] reason: MinimumReplicasUnavailable [e2e-llm-inference-service] message: Deployment does not have minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:46:43Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:46:43Z' [e2e-llm-inference-service] reason: ProgressDeadlineExceeded [e2e-llm-inference-service] message: ReplicaSet "llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596" [e2e-llm-inference-service] has timed out progressing. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f25c03e0-70c5-482f-a05f-fe5f477e1620 [e2e-llm-inference-service] resourceVersion: '69812' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 8dc569596 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve [e2e-llm-inference-service] uid: d4ed782c-ce0f-450e-b219-c8d6f958e590 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d4ed782c-ce0f-450e-b219-c8d6f958e590"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 8dc569596 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 8dc569596 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisvd10b93c8eba12f87c3a350a5cae2ee0c-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-sccv67 [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: bf5a2532-9f30-46f2-bcda-40dd12958f2e [e2e-llm-inference-service] resourceVersion: '69846' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] uid: 76be6691-7f7b-4636-ae04-f870efe3038a [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:36:43Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"76be6691-7f7b-4636-ae04-f870efe3038a"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.133.0.50 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] serving: false [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596-6l2s9 [e2e-llm-inference-service] uid: 92942f58-4e25-4ee9-b280-2d018424af90 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7ca5efa9-c96b-480b-adf7-ded40b009ced"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:36:45Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] uid: 7ca5efa9-c96b-480b-adf7-ded40b009ced [e2e-llm-inference-service] resourceVersion: '69909' [e2e-llm-inference-service] uid: e63d8813-ad38-43b1-8388-81b87c518af3 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:36:45Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7ca5efa9-c96b-480b-adf7-ded40b009ced"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:36:45Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] uid: 7ca5efa9-c96b-480b-adf7-ded40b009ced [e2e-llm-inference-service] resourceVersion: '69909' [e2e-llm-inference-service] uid: e63d8813-ad38-43b1-8388-81b87c518af3 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:36:45Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7ca5efa9-c96b-480b-adf7-ded40b009ced"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:rules: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:authentication: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:public: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:anonymous: {} [e2e-llm-inference-service] f:credentials: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:overrides: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fairness: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:response: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:success: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:headers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:x-gateway-inference-fairness-id: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:x-gateway-inference-objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:targetRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Accepted"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Enforced"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:36:46Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] uid: 7ca5efa9-c96b-480b-adf7-ded40b009ced [e2e-llm-inference-service] resourceVersion: '69921' [e2e-llm-inference-service] uid: f81e6cae-63f7-4177-8b6a-2f1c158d59bc [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:36:45Z' [e2e-llm-inference-service] message: AuthPolicy has been accepted [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:36:46Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7ca5efa9-c96b-480b-adf7-ded40b009ced"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] uid: 7ca5efa9-c96b-480b-adf7-ded40b009ced [e2e-llm-inference-service] resourceVersion: '69819' [e2e-llm-inference-service] uid: 5a37f917-3513-4e52-8c5b-804759996e8c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7ca5efa9-c96b-480b-adf7-ded40b009ced"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] uid: 7ca5efa9-c96b-480b-adf7-ded40b009ced [e2e-llm-inference-service] resourceVersion: '69819' [e2e-llm-inference-service] uid: 5a37f917-3513-4e52-8c5b-804759996e8c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7ca5efa9-c96b-480b-adf7-ded40b009ced"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:36:42Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-3c960099 [e2e-llm-inference-service] uid: 7ca5efa9-c96b-480b-adf7-ded40b009ced [e2e-llm-inference-service] resourceVersion: '69819' [e2e-llm-inference-service] uid: 5a37f917-3513-4e52-8c5b-804759996e8c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_inference_service] [2026-07-13T21:51:24.765768] end - ❌ 902.017s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:37:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:36:43Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:37:05Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] _ test_llm_inference_service[router-managed-workload-simulated-dp-ep-cpu-model-fb-opt-125m] _ [e2e-llm-inference-service] [gw0] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-managed', 'workload-simulated-dp-ep-cpu', 'model-fb-opt-125m'], prompt='This test simulate... {'name': 'model-fb-opt-125m-llmisvc-model-9f2e00e5'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] > wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:812: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...pu-ll-b2c82424'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-llmisvc-model-9f2e00e5'}]}, [e2e-llm-inference-service] 'status': None}, 900) [e2e-llm-inference-service] kwargs = {}, func_name = 'wait_for_llm_isvc_ready' [e2e-llm-inference-service] timestamp_start = '2026-07-13T21:51:25.092848', start_time = 1783979485.0931387 [e2e-llm-inference-service] duration = 900.2995824813843, timestamp_end = '2026-07-13T22:06:25.392723' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] given = {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security....p-ep-cpu-ll-b2c82424'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-llmisvc-model-9f2e00e5'}]}, [e2e-llm-inference-service] 'status': None} [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] given: V1alpha1LLMInferenceService, [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] return True [e2e-llm-inference-service] [e2e-llm-inference-service] > return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1204: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fb7b5e7f920> [e2e-llm-inference-service] timeout = 900, interval = 1.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] > raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] E AssertionError: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1199: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-llmisvc-model-fb-a575f6e7 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-model-fb-a575f6e7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-model-fb-a575f6e7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-b2c82424 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-b2c82424 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-b2c82424 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-llmisvc-model-9f2e00e5 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-llmisvc-model-9f2e00e5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-llmisvc-model-9f2e00e5 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-13T21:51:24.965610] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-simulated-dp-ep-cpu', 'model-fb-opt-125m'], prompt='This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, but without the resources requirements for DP+EP (GPUs and ROCe/IB).', service_name='llmisvc-model-fb-opt-125m-route-dc21cb14', endpoint='/v1/completions', max_tokens=20, payload_formatter=None, response_assertion=, wait_timeout=900, response_timeout=60, extra_headers=None, url_getter=None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-route-dc21cb14', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-a575f6e7'}, [e2e-llm-inference-service] {'name': 'workload-simulated-dp-ep-cpu-ll-b2c82424'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-llmisvc-model-9f2e00e5'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-13T21:51:24.977944] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-route-dc21cb14', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-a575f6e7'}, [e2e-llm-inference-service] {'name': 'workload-simulated-dp-ep-cpu-ll-b2c82424'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-llmisvc-model-9f2e00e5'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-13T21:51:25.092764] end - ✅ in 0.115s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-13T21:51:25.092848] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-route-dc21cb14', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-a575f6e7'}, [e2e-llm-inference-service] {'name': 'workload-simulated-dp-ep-cpu-ll-b2c82424'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-llmisvc-model-9f2e00e5'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'Inference Pool kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:52:12Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:52:12Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:52:12Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 16: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T21:11:53Z\"}}", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T21:21:30Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 11, "llminferenceservices": 8, "authpolicies": 9} [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 17: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T21:11:53Z\"}}", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T21:21:30Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 11, "llminferenceservices": 8, "authpolicies": 9} [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 18: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "0\t{\"running\":{\"startedAt\":\"2026-07-13T21:11:53Z\"}}", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T21:21:30Z\"}}", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-13T20:32:01Z\"}}"} resources={"httproutes": 12, "llminferenceservices": 9, "authpolicies": 10} [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_llm_isvc_ready] [2026-07-13T22:06:25.392723] end - ❌ 900.300s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-managed-workload-simulated-dp-ep-cpu-model-fb-opt-125m] ❌ ERROR: Failed to call llm inference service llmisvc-model-fb-opt-125m-route-dc21cb14: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'llmisvc-model-fb-opt-125m-route-dc21cb14' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:25Z' [e2e-llm-inference-service] finalizers: [e2e-llm-inference-service] - serving.kserve.io/llmisvc-finalizer [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:security.opendatahub.io/enable-auth: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:baseRefs: {} [e2e-llm-inference-service] manager: OpenAPI-Generator [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:25Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:finalizers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] v:"serving.kserve.io/llmisvc-finalizer": {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:25Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:52:30Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '81645' [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-managed-llmisvc-model-fb-a575f6e7 [e2e-llm-inference-service] - name: workload-simulated-dp-ep-cpu-ll-b2c82424 [e2e-llm-inference-service] - name: model-fb-opt-125m-llmisvc-model-9f2e00e5 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external-model-routing [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] - name: gateway-internal-model-routing [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/ [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:52:12Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:52:12Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:51:52Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:52:30Z' [e2e-llm-inference-service] message: LWS is progressing [e2e-llm-inference-service] reason: Progressing [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:52:30Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:52:30Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:51:52Z' [e2e-llm-inference-service] message: LWS is progressing [e2e-llm-inference-service] reason: Progressing [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: WorkerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:51:52Z' [e2e-llm-inference-service] message: LWS is progressing [e2e-llm-inference-service] reason: Progressing [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://a3839e82a091e457c81a7adb351e7470-34088567.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-8846b76cf-l9hlg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:51:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.33:8000/health": dial tcp 10.133.0.33:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-8846b76cf-l9hlg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:03 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-74b57f8bdb-52vdd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-74b57f8bdb from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-8846b76cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:00 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-5dcdbd74bf-fbc4n to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 3.077s (3.077s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-5dcdbd74bf-fbc4n [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-5b85d8b48f-whbzv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-5b85d8b48f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-5dcdbd74bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:17 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-6997b7c89-lfxgj to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:19 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 26.952s (26.952s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:46 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.32:8000/health": dial tcp 10.133.0.32:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-6997b7c89-lfxgj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-5d9b98884ct2mvb to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:17 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.541s (1.541s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:18 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-5d9b98884c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-6997b7c89 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:47:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:35 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:49:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:49 kserve-ci-e2e-test LLMInferenceServiceController Warning UpdateFailed Failed to update status for LLMInferenceService "conv-test-criticality": Operation cannot be fulfilled on llminferenceservices.serving.kserve.io "conv-test-criticality": the object has been modified; please apply your changes to the latest version and try again [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:50 kserve-ci-e2e-test LLMInferenceServiceController Warning UpdateFailed Failed to update status for LLMInferenceService "conv-test-lora-crit": Operation cannot be fulfilled on llminferenceservices.serving.kserve.io "conv-test-lora-crit": the object has been modified; please apply your changes to the latest version and try again [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-575cb866d6-hg2qq to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:09 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:15 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.43:8001/health": dial tcp 10.133.0.43:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-575cb866d6-hg2qq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f-6qsfr to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.44:8000/health": dial tcp 10.133.0.44:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f-6qsfr [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-prefill-6bf57ff45f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-router-scheduler-577dcvrrhd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-router-scheduler-577dcvrrhd to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:10 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:08 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-router-scheduler-577dc859c9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-575cb866d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-pd-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-pd-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:20 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:18:20 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:48 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-pd-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:20:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-58774698bc-xlk69 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:27:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:29:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.37:8000/health": dial tcp 10.133.0.37:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-58774698bc-xlk69 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-f56b95d4x8d5b to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:59 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-f56b95d46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-58774698bc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:57 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:57:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:29:49 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/e2e-pvc-model-download-56zqx to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:46 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.61/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test job-controller Normal SuccessfulCreate Created pod: e2e-pvc-model-download-56zqx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:59 kserve-ci-e2e-test job-controller Normal Completed Job completed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test persistentvolume-controller Normal WaitForFirstConsumer waiting for first consumer to be created before binding [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test ebs.csi.aws.com_aws-ebs-csi-driver-controller-9d764c8fc-b8b68_15d9f319-9fea-45cb-9a62-e06c0ecd94e3 Normal Provisioning External provisioner is provisioning volume for claim "kserve-ci-e2e-test/e2e-pvc-model-storage" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:41 kserve-ci-e2e-test persistentvolume-controller Normal ExternalProvisioning Waiting for a volume to be created either by the external provisioner 'ebs.csi.aws.com' or manually by the system administrator. If volume creation is delayed, please verify that the provisioner is running and correctly registered. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:32:43 kserve-ci-e2e-test ebs.csi.aws.com_aws-ebs-csi-driver-controller-9d764c8fc-b8b68_15d9f319-9fea-45cb-9a62-e06c0ecd94e3 Normal ProvisioningSucceeded Successfully provisioned volume pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5qw6z5 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.26/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.145s (1.145s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:43 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5bkkscs to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.559s (1.559s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596-6l2s9 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596-6l2s9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-3c960099-kserve-8dc569596 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:32 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-3c960099-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-3c960099-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvd10b93c8eba12f87c3a350a5cae2ee0c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-3c960099-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:37:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvd10b93c8eba12f87c3a350a5cae2ee0c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfcs8rwt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfcs8rwt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" in 818ms (818ms including waiting). Image size: 44914394 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.40:8001/health": dial tcp 10.133.0.40:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-56wr5zk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-56wr5zk to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:55 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.41:8000/health": dial tcp 10.133.0.41:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-567d677454 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-85749c4cfc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:47 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:25 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:32 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-50bc673d] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.36:8000/health": dial tcp 10.133.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:43 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.36:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9-vw59t [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-d6f565db9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:21 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:22 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-1 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:54 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:22 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 27.997s (27.997s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:22 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:22 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test statefulset-controller Normal SuccessfulCreate create Pod llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-1 in StatefulSet llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 successful [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test leaderworkerset Normal CreatingRevision Creating revision with key 6fbd6666bd for a newly created LeaderWorkerSet [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Created leader statefulset llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Replicas are progressing, with 0 groups ready of total 1 groups [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test statefulset-controller Normal SuccessfulCreate create Pod llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 in StatefulSet llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn successful [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Created worker statefulset for leader pod llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:45 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-scc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.LeaderWorkerSet kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test386bd5808c5c450f11fd8632e1f821fb-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:09 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rzht to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:53:39 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8-v6swg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:34 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.39:8000/health": dial tcp 10.133.0.39:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:44 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.39:8000/health": context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8-v6swg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheldc7v [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-64fbddf8c7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheldc7v to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.58/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:16 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-b4c65ddb8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:34 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:13:34 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:58 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-7ca60146] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:10 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.42:8000/health": dial tcp 10.133.0.42:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f-ksn9z [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-675579c8d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheg6l25 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.59/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-8546798f9f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:15:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test05addb65ba05195619f26ef266e8fc04-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:16:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:34 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-ba4d693a] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:15 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:31 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test statefulset-controller Normal SuccessfulCreate create Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 in StatefulSet llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 successful [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:15 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:41:27 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.51:8000/health": dial tcp 10.133.0.51:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:14 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test leaderworkerset Normal CreatingRevision Creating revision with key 686d468674 for a newly created LeaderWorkerSet [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Created leader statefulset llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Replicas are progressing, with 0 groups ready of total 1 groups [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test statefulset-controller Normal SuccessfulCreate create Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 in StatefulSet llmisvc-model-pvc-router-manage-2577e794-kserve-mn successful [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Created worker statefulset for leader pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:41:37 kserve-ci-e2e-test leaderworkerset Normal AllGroupsReady All replicas are ready, with 1 groups ready of total 1 groups [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:07 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-2577e794-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-2577e794-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-scc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.LeaderWorkerSet kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test37591b20e96e9663d45a730d03070f1e-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:04 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-pvc-router-manage-2577e794] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test37591b20e96e9663d45a730d03070f1e-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drpwfj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drpwfj to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:15 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:18 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:08 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.47:8000/health": dial tcp 10.133.0.47:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.47:8000/health": dial tcp 10.133.0.47:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:11 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-59b9d263-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-59b9d263-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv8bf079eb6eda4debfb4ef5bb7817824c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testc9569cf4801efc0ed27b2f25ffaee875-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv8bf079eb6eda4debfb4ef5bb7817824c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:18 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-pvc-router-manage-59b9d263] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testc9569cf4801efc0ed27b2f25ffaee875-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-6lhgz to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.48:8001/health": dial tcp 10.133.0.48:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-6lhgz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79j2ktf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79j2ktf to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:22 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.49:8000/health": dial tcp 10.133.0.49:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:52 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.133.0.49:8000/health": dial tcp 10.133.0.49:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79497db4cc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-e8706282-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-e8706282-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testf5d060a5eb39a04e074b78907a1556a6-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:36:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:32 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-pvc-router-manage-e8706282] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testf5d060a5eb39a04e074b78907a1556a6-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-88zn4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:45 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4jf9hk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:41 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:59 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:35:17 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879hf7kw to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.132.0.50:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:35 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schepwlnb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-7dbcb75dbc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schepwlnb to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.64/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:39:15 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0, llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-sched4pzq to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:49 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-sched4pzq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:51:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler-74db8b69c5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc44d181485fad85e662eb092f3749502f-kserve-router-sche9pp2k to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:53 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:17:37 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc44d181485fad85e662eb092f3749502f-kserve-router-sche9pp2k [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc44d181485fad85e662eb092f3749502f-kserve-router-scheduler-687c686d6f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schers9ck to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:37 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:11 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-schec5q4c to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.62/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:15 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drpwfj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:23 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-schec5q4c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:33:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-scheduler-5f555d4d85 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:23 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:24 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.274s (1.274s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:25 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:56:26 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche6b9p7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-577ddf46cf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche47hxd to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.63/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:51 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-7ef1dcff-d90a-4e5d-99be-3af3d4479258" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-6lhgz, llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79j2ktf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:38:36 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche47hxd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:35:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler-67b4bb9646 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schernv54 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.55/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:54:12 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schepgvqt to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:34:45 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/lora-multiple-adapters-test-kserve-6fc586d5c5-crwxk to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:19 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:19 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:19 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:02:35 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.43:8000/health": dial tcp 10.134.0.43:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:03:35 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:03:52 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.43:8000/health": net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: lora-multiple-adapters-test-kserve-6fc586d5c5-crwxk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set lora-multiple-adapters-test-kserve-6fc586d5c5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:03 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy lora-multiple-adapters-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/lora-multiple-adapters-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "lora-multiple-adapters-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/lora-multiple-adapters-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/lora-multiple-adapters-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/lora-multiple-adapters-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/lora-multiple-adapters-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/lora-multiple-adapters-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:01:32 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/lora-multiple-adapters-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:02:45 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [lora-multiple-adapters-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/lora-single-adapter-test-kserve-66b6768d46-zz5dq to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:12 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:12 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:12 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:12 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:59:31 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.42:8000/health": dial tcp 10.134.0.42:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:00:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:00:37 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.42:8000/health": dial tcp 10.134.0.42:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:11 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: lora-single-adapter-test-kserve-66b6768d46-zz5dq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:11 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set lora-single-adapter-test-kserve-66b6768d46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:08 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy lora-single-adapter-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/lora-single-adapter-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "lora-single-adapter-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/lora-single-adapter-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/lora-single-adapter-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/lora-single-adapter-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/lora-single-adapter-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:11 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/lora-single-adapter-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:58:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/lora-single-adapter-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:59:42 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [lora-single-adapter-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" in 5.991s (5.991s including waiting). Image size: 301881304 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:01 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-k9nrg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7dbc9b54cf-nnklv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-7d947557xqcgh to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:51 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.588s (1.588s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:24 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:53 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 29.738s (29.738s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:23 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:41 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:04 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-7d9475576c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7dbc9b54cf from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:02 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:33:03 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-k7wrt to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-lzjqc to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:49 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:55 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.49:15021/healthz/ready": dial tcp 10.132.0.49:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Readiness probe failed: HTTP probe failed with statuscode: 503 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-54c47cdfc7-szvtg to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.57/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:53 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:00 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.57:15021/healthz/ready": dial tcp 10.132.0.57:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-k7wrt [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-54c47cdfc7-lzjqc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-54c47cdfc7-szvtg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-5pb7c to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.56/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:50 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:02 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-c7gts to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.54/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:28 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-w858r to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:45 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:05 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.46:15021/healthz/ready": context deadline exceeded (Client.Timeout exceeded while awaiting headers) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-799f46c59b-znbzj to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:37 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:39 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-znbzj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:44 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:04 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-w858r [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:26 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:52:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-c7gts [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-799f46c59b-5pb7c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-1-openshift-default-799f46c59b-5pb7c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-799f46c59b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:36 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-54c47cdfc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-799f46c59b from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:31:41 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:52 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-1-openshift-default-54c47cdfc7 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:11:49 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 20:32:00 kserve-ci-e2e-test GatewayAuthBootstrap Warning ReconcileError Failed to delete gateway PodMonitor: failed to delete PodMonitor: podmonitors.monitoring.coreos.com "router-gateway-1-metrics" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-2-openshift-default-54c789bdc6-dcptk to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.60/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:14 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-2-openshift-default-54c789bdc6-dcptk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test replicaset-controller Normal SuccessfulDelete Deleted pod: router-gateway-2-openshift-default-54c789bdc6-dcptk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-2-openshift-default-684dc9b4b9-csj4h to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulling Pulling image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:19 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Successfully pulled image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" in 2.691s (2.691s including waiting). Image size: 181251556 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:30 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:35 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.134.0.36:15021/healthz/ready": dial tcp 10.134.0.36:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-2-openshift-default-684dc9b4b9-csj4h [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-2-openshift-default-54c789bdc6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-2-openshift-default-684dc9b4b9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:17 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:21 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled down replica set router-gateway-2-openshift-default-54c789bdc6 from 1 to 0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:13 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-5f979f544b-kp47g to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:54 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:23:38 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.45:8001/health": dial tcp 10.133.0.45:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-5f979f544b-kp47g [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-prefill-6d4d59d7f9-fxqxx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-prefill-6d4d59d7f9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:49 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-router-scheduler-76979bbb99g7wg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-router-scheduler-76979bbb9f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-5f979f544b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:47 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:21:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-75b6f7579f-8kmql to ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:06 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.133.0.38:8000/health": dial tcp 10.133.0.38:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-147.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-75b6f7579f-8kmql [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler-6c88bfdb46-bgdv5 to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:17 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:17 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-router-scheduler-6c88bfdb46-bgdv5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-router-scheduler-6c88bfdb46 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-75b6f7579f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:12:25 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:16 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [router-with-refs-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:14:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/stop-feature-test-kserve-58f7546cf9-57bdv to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:56 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:56 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:56 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:56 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:53:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:53:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:53:01 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:54:55 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.40:8000/health": dial tcp 10.134.0.40:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:07 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:22 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.40:8000/health": dial tcp 10.134.0.40:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/stop-feature-test-kserve-58f7546cf9-smv4v to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:31 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:31 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:31 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:57:27 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.41:8000/health": dial tcp 10.134.0.41:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:57:39 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: stop-feature-test-kserve-58f7546cf9-57bdv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: stop-feature-test-kserve-58f7546cf9-smv4v [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/stop-feature-test-kserve-router-scheduler-7bc99d967b-6qz2s to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:56 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.65/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:56 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:57 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:58 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:08 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:08 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/stop-feature-test-kserve-router-scheduler-7bc99d967b-n2s9n to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.66/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:28 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:28 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:28 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:57:38 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:57:38 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: stop-feature-test-kserve-router-scheduler-7bc99d967b-6qz2s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: stop-feature-test-kserve-router-scheduler-7bc99d967b-n2s9n [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set stop-feature-test-kserve-router-scheduler-7bc99d967b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set stop-feature-test-kserve-router-scheduler-7bc99d967b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set stop-feature-test-kserve-58f7546cf9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set stop-feature-test-kserve-58f7546cf9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:20 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy stop-feature-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/stop-feature-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "stop-feature-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/stop-feature-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/stop-feature-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/stop-feature-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/stop-feature-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-stop-feature-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/stop-feature-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/stop-feature-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/stop-feature-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:52:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/stop-feature-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:53:34 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/stop-feature-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:53:33 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/stop-feature-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:53:33 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/stop-feature-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:06 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [stop-feature-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.Secret kserve-ci-e2e-test/stop-feature-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.Deployment kserve-ci-e2e-test/stop-feature-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.Service kserve-ci-e2e-test/stop-feature-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ServiceAccount kserve-ci-e2e-test/stop-feature-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.Deployment kserve-ci-e2e-test/stop-feature-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.Service kserve-ci-e2e-test/stop-feature-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.InferencePool kserve-ci-e2e-test/stop-feature-test-inference-pool [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 21:55:10 kserve-ci-e2e-test LLMInferenceServiceController Warning LLMInferenceServiceNotReady LLMInferenceService [stop-feature-test] is no longer Ready because of: GatewaysReady, HTTPRoutesReady, InferencePoolReady, MainWorkloadReady, PrefillWorkerWorkloadReady, PrefillWorkloadReady, RouterReady, SchedulerWorkloadReady, WorkerWorkloadReady, WorkloadsReady [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/tls-verification-test-kserve-d599868ff-982sc to ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:11 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:11 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:11 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:06:07 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.44:8000/health": dial tcp 10.134.0.44:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:06:22 kserve-ci-e2e-test kubelet/ip-10-0-140-139.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: tls-verification-test-kserve-d599868ff-982sc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/tls-verification-test-kserve-router-scheduler-7d85db754d-9ln22 to ip-10-0-139-183.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.67/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:08 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:08 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:09 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:09 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:09 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:06:22 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:06:22 kserve-ci-e2e-test kubelet/ip-10-0-139-183.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: tls-verification-test-kserve-router-scheduler-7d85db754d-9ln22 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set tls-verification-test-kserve-router-scheduler-7d85db754d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set tls-verification-test-kserve-d599868ff from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy tls-verification-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/tls-verification-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "tls-verification-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/tls-verification-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/tls-verification-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/tls-verification-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/tls-verification-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-tls-verification-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/tls-verification-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/tls-verification-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/tls-verification-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/tls-verification-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/tls-verification-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:30 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/tls-verification-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:04:30 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/tls-verification-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:06:18 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [tls-verification-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-13 22:06:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-tls-verification-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 21:51:49.257 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 21:51:49.257 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_ffcae6cb-a6ac-4eb5-bac3-27b5d39c2f25'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/5HHJ6px3_ZRDOG3OxNZMhuycwOk=.a591333512516f58bf2002045dece909a0ccdb8b.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_987620b8-705c-4a6f-8326-5adb18bf8d6c'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Xn7B-BWUGOee2Y6hCZtEhtFu4BE=.38c05904caf6e5b9f04ecda5c973d77e6c1da151.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_5e160ce1-8a4b-498e-a788-74ceba22d775'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_6cba9118-6d04-4476-80e9-977e55246a3e'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/gPcsVCQDYDHk-_n0G9uADl7PXIM=.61c60ec52ed43038fff0fbbd68b080c94b0d94b4c8458dbd65965f9b17631c89.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_c76e8fed-91e4-4eab-99bf-02026ba4f0fc'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_94eafa42-8131-4782-a345-bed4cc051b6e'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_48404467-64d7-4c15-b05d-6b381b14e438'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:204 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': 'f1fb2e2c-12d8-4d1f-a564-b2ddf1cc9bbc', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Mon, 13 Jul 2026 22:06:26 GMT', 'Content-Length': '234'}) [e2e-llm-inference-service] HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"container \"main\" in pod \"llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0\" is waiting to start: PodInitializing","reason":"BadRequest","code":400} [e2e-llm-inference-service] [e2e-llm-inference-service] ) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-1 (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-13 21:51:49.366 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 21:51:49.366 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_7f6e0233-7798-47c8-93cb-f0d1f0b8cee1'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/5HHJ6px3_ZRDOG3OxNZMhuycwOk=.a591333512516f58bf2002045dece909a0ccdb8b.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_c5f9f8a4-8fed-4958-be03-23e73fe77030'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Xn7B-BWUGOee2Y6hCZtEhtFu4BE=.38c05904caf6e5b9f04ecda5c973d77e6c1da151.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_67f34ca1-a78b-43be-905c-e524ec7a4b71'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_97d7a632-5f77-4d29-9953-cfedab53b641'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/gPcsVCQDYDHk-_n0G9uADl7PXIM=.61c60ec52ed43038fff0fbbd68b080c94b0d94b4c8458dbd65965f9b17631c89.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_9f54eed6-f17e-48bd-9510-51ab525a7d9e'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_967e528d-d793-4e1e-83cc-d144928524a7'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_beb64315-95d8-4a24-86bc-0ca61ed2ce18'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/Q1p2l2BzM1m6P5jKvr8WTq1TUio=.2d74da6615135c58cf3cf9ad4cb11e7c613ff9e55fe658a47ab83b6c8d1174a9.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_33f348e3-ca49-4d74-9cd8-e27ab0f47d25'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_78a1e3e6-d4b7-4688-be37-23e9c208ffb8'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/a7eHxRFT3OeMBIFg52k2nfj5m7w=.db7090b0c8b34dd957a7e0656c718f978f9203cc874018f37dda44108be5970a.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_167f0a44-7f1a-4404-b063-360ae562a909'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_f1375964-c5f6-4e5d-9b05-41e6f7ce6abd'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_787b6852-eacf-4463-bb20-057f59297ada'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-13 21:51:53.492 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-13 21:51:53.492 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 4.125591496000197 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 INFO 07-13 21:52:34 [importing.py:44] Triton is installed but 0 active driver(s) found (expected 1). Disabling Triton to prevent runtime errors. [e2e-llm-inference-service] INFO 07-13 21:52:34 [importing.py:68] Triton not installed or not compatible; certain GPU-related functions will not be available. [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:52:40 [utils.py:299] [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:52:40 [utils.py:299] █ █ █▄ ▄█ [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:52:40 [utils.py:299] ▄▄ ▄█ █ █ █ ▀▄▀ █ version 0.19.0 [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:52:40 [utils.py:299] █▄█▀ █ █ █ █ model /mnt/models [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:52:40 [utils.py:299] ▀▀ ▀▀▀▀▀ ▀▀▀▀▀ ▀ ▀ [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:52:40 [utils.py:299] [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:52:40 [utils.py:233] non-default args: {'model_tag': '/mnt/models', 'ssl_keyfile': '/var/run/kserve/tls/tls.key', 'ssl_certfile': '/var/run/kserve/tls/tls.crt', 'enable_ssl_refresh': True, 'model': '/mnt/models', 'served_model_name': ['facebook/opt-125m']} [e2e-llm-inference-service] (APIServer pid=1) WARNING 07-13 21:52:40 [arg_utils.py:1390] The global random seed is set to 0. Since VLLM_ENABLE_V1_MULTIPROCESSING is set to False, this may affect the random state of the Python process that launched vLLM. [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:52:58 [model.py:549] Resolved architecture: OPTForCausalLM [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:52:58 [model.py:1678] Using max model len 2048 [e2e-llm-inference-service] (APIServer pid=1) INFO 07-13 21:52:58 [vllm.py:790] Asynchronous scheduling is enabled. [e2e-llm-inference-service] INFO 07-13 21:53:11 [importing.py:44] Triton is installed but 0 active driver(s) found (expected 1). Disabling Triton to prevent runtime errors. [e2e-llm-inference-service] INFO 07-13 21:53:11 [importing.py:68] Triton not installed or not compatible; certain GPU-related functions will not be available. [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:16 [core.py:105] Initializing a V1 LLM engine (v0.19.0) with config: model='/mnt/models', speculative_config=None, tokenizer='/mnt/models', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, decode_context_parallel_size=1, dcp_comm_backend=ag_rs, disable_custom_all_reduce=True, quantization=None, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cpu, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=0, served_model_name=facebook/opt-125m, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'splitting_ops': [], 'compile_mm_encoder': False, 'cudagraph_mm_encoder': False, 'encoder_cudagraph_token_budgets': [], 'encoder_cudagraph_max_images_per_batch': 0, 'compile_sizes': None, 'compile_ranges_endpoints': [2048], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'size_asserts': False, 'alignment_asserts': False, 'scalar_asserts': False, 'dce': True, 'nan_asserts': False, 'epilogue_fusion': True, 'cpp.dynamic_threads': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False}, 'max_cudagraph_capture_size': None, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:17 [cpu_worker.py:236] auto thread-binding list (id, physical core): [(4, 0), (5, 1), (6, 2), (7, 3)] [e2e-llm-inference-service] [W713 21:53:17.212767319 utils.cpp:76] Warning: numa_migrate_pages failed. errno: 1 (function init_cpu_threads_env) [e2e-llm-inference-service] [W713 21:53:17.212797380 utils.cpp:103] Warning: NUMA binding: Using MEMBIND policy for memory allocation on the NUMA nodes (0). Memory allocations will be strictly bound to these NUMA nodes. (function init_cpu_threads_env) [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:17 [cpu_worker.py:109] OMP threads binding of Process 41: [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:17 [cpu_worker.py:109] OMP tid: 41, core 4 [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:17 [cpu_worker.py:109] OMP tid: 58, core 5 [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:17 [cpu_worker.py:109] OMP tid: 59, core 6 [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:17 [cpu_worker.py:109] OMP tid: 60, core 7 [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:17 [cpu_worker.py:109] [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:17 [parallel_state.py:1400] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.134.0.38:45331 backend=gloo [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:17 [parallel_state.py:1716] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A, EPLB rank N/A [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-13 21:53:17 [cpu_model_runner.py:71] Starting to load model /mnt/models... [e2e-llm-inference-service] (EngineCore pid=41) Loading pt checkpoint shards: 0% Completed | 0/1 [00:00():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-13 21:51:49.523 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-13 21:51:49.523 1 storage.initializer INFO [kserve_storage.py:download():169] Allow patterns: ['tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json', 'vocab.json', 'merges.txt', 'config.json', 'generation_config.json'] [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_563ec312-5ee7-46bb-802f-1c75eff83065'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/3EVKVggOldJcKSsGjSdoUCN1AyQ=.cf739e3ba86db7791ebab2828cc34b8a5acd3a86.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_51f71382-69b0-4d06-97e9-0f84fd336a4c'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/PtHk0z_I45atnj23IIRhTExwT3w=.226b0752cac7789c48f0cb3ec53eda48b7be36cc.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_60adde7b-2123-4039-86ba-8e8a4e0529f3'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/ahkChHUJFxEmOdq5GDFEmerRzCY=.5dfa36546b8eddce0e04df3133c30df43fcc3828.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_7cf49f7f-7624-40f2-8834-3391fc66d045'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_5ca2cac9-f93c-4220-882c-19edab97f7b4'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_05237b64-a488-451c-8faf-489903926d8f'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-13 21:51:49.951 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-13 21:51:49.951 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.4282152659998246 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783979510.3744338,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783979510.3748963,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783979510.375032,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3754618,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3754964,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.375507,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3758123,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"single-profile-handler","parameters":null,"type":"single-profile-handler"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783979510.390919,"logger":"utilization-detector/utilization-detector","caller":"utilization/detector.go:83","msg":"Creating new UtilizationDetector","queueDepthThreshold":5,"kvCacheUtilThreshold":0.8,"metricsStalenessThreshold":"200ms","headroom":0} [e2e-llm-inference-service] {"level":"info","ts":1783979510.391147,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3912385,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3913527,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3914955,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton-tensorrt-llm","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3915493,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3916447,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: single-profile-handler, Type: single-profile-handler} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3917508,"caller":"approximateprefix/plugin.go:88","msg":"Prefix DataProducer initialized","config":{"autoTune":true,"blockSizeTokens":16,"blockSize":0,"maxPrefixBlocksToMatch":2048,"maxPrefixTokensToMatch":131072,"lruCapacityPerServer":31250}} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3918812,"caller":"approximateprefix/plugin.go:111","msg":"WARNING: configured blockSizeTokens is below the recommended minimum, overriding it.","blockSizeTokens":16,"minimum":64,"issue":"https://github.com/llm-d/llm-d-router/issues/1158"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.391932,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"approx-prefix-cache-producer/approx-prefix-cache-producer","dataKey":"PrefixCacheMatchInfoDataKey/approx-prefix-cache-producer","consumer":"prefix-cache-scorer"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.392012,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"token-producer/token-producer","dataKey":"TokenizedPrompt/token-producer","consumer":"approx-prefix-cache-producer"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3921514,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.3922033,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0007f0580 DataConfig:{Sources:[{Plugin:0xc0004c0a20 Extractors:[0xc0007f0bc0]}]} FlowControlConfig: ParserRegistry:0xc0007f1040}"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4143906,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4144304,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4144466,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4144516,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4144566,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.414461,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4144654,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.41447,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4144742,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4144793,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4144838,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.414488,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4144952,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4145,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4145286,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4145372,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4145515,"logger":"setup","caller":"datalayer/runtime.go:147","msg":"Source configured","source":"metrics-data-source","extractors":["core-metrics-extractor/core-metrics-extractor"]} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4145656,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783979510.414575,"logger":"setup","caller":"runner/runner.go:833","msg":"Experimental Flow Control layer is disabled, using legacy admission control"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4146862,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4146972,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4147315,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.414976,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4150758,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4151495,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4155266,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","source":"kind source: *v1.InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.415606,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4157162,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4158163,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"pod","controllerGroup":"","controllerKind":"Pod","source":"kind source: *v1.Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4162977,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.416394,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4203115,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4203794,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4204962,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.4261131,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.5167024,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.5167253,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.5167425,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783979510.5167563,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783979510.5167325,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.5167887,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783979510.5168996,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool","reconcileID":"dffafc8f-8bbd-4135-94f6-d877aa654cb4"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.6170244,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783979510.6170568,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783979530.311523,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool","reconcileID":"81335b29-5622-4e73-9bc2-c3d4dc9afc0d"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ee284d4a-a792-4d1e-b4d1-335dbecd8b56 [e2e-llm-inference-service] resourceVersion: '81548' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.134.0.39 [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-sched4pzq [e2e-llm-inference-service] uid: f5ada6ac-bbb6-495d-a296-f4aa29ca3d14 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e15d9eb7-6d0f-4bb4-b988-375665eafeaa [e2e-llm-inference-service] resourceVersion: '80984' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - notReadyAddresses: [e2e-llm-inference-service] - ip: 10.133.0.53 [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] uid: b51dfba7-bb34-433f-85d6-29c1b655a71f [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: b51dfba7-bb34-433f-85d6-29c1b655a71f [e2e-llm-inference-service] resourceVersion: '80982' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-leader [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] apps.kubernetes.io/pod-index: '0' [e2e-llm-inference-service] controller-revision-hash: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-74bbb45779 [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: 269370d6a88f087dbcb80280bf4153dc63eb8499 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 6fbd6666bd [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/worker-index: '0' [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] statefulset.kubernetes.io/pod-name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.53/23"],"mac_address":"0a:58:0a:85:00:35","gateway_ips":["10.133.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.133.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.133.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.133.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.133.0.1"}],"ip_address":"10.133.0.53/23","gateway_ip":"10.133.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.133.0.53\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:35\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/size: '2' [e2e-llm-inference-service] openshift.io/scc: openshift-ai-llminferenceservice-scc [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: serviceaccount [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: StatefulSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] uid: fcc065a0-3493-4e2e-828f-0de03f9accda [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-147 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/size: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:apps.kubernetes.io/pod-index: {} [e2e-llm-inference-service] f:controller-revision-hash: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/name: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/template-revision-hash: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/worker-index: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:statefulset.kubernetes.io/pod-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"fcc065a0-3493-4e2e-828f-0de03f9accda"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:add: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:hostname: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:subdomain: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.53"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 8Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-6gpfn [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: LWS_LEADER_ADDRESS [e2e-llm-inference-service] value: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0.llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn.kserve-ci-e2e-test [e2e-llm-inference-service] - name: LWS_GROUP_SIZE [e2e-llm-inference-service] value: '2' [e2e-llm-inference-service] - name: LWS_WORKER_INDEX [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-6gpfn [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - vllm [e2e-llm-inference-service] - serve [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --served-model-name [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --enable-ssl-refresh [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: LWS_LEADER_ADDRESS [e2e-llm-inference-service] value: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0.llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn.kserve-ci-e2e-test [e2e-llm-inference-service] - name: LWS_GROUP_SIZE [e2e-llm-inference-service] value: '2' [e2e-llm-inference-service] - name: LWS_WORKER_INDEX [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-6gpfn [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] add: [e2e-llm-inference-service] - IPC_LOCK [e2e-llm-inference-service] - SYS_RAWIO [e2e-llm-inference-service] - NET_RAW [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb-57cf7736-dockercfg-m6v2w [e2e-llm-inference-service] hostname: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] subdomain: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Pending [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] reason: ContainersNotInitialized [e2e-llm-inference-service] message: 'containers with incomplete status: [storage-initializer]' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [main]' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [main]' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] hostIP: 10.0.140.147 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.147 [e2e-llm-inference-service] podIP: 10.133.0.53 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.53 [e2e-llm-inference-service] startTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://8e3655358a7db295b73d1a358d2f359b2e6db9956f676b60344136c3cfdb8349 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-6gpfn [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] waiting: [e2e-llm-inference-service] reason: PodInitializing [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: '' [e2e-llm-inference-service] started: false [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-6gpfn [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-1 [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 0d830cf5-eb2d-4d65-9883-965eaeffddb4 [e2e-llm-inference-service] resourceVersion: '81555' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-worker [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] apps.kubernetes.io/pod-index: '1' [e2e-llm-inference-service] controller-revision-hash: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-5b99b48f56 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: 269370d6a88f087dbcb80280bf4153dc63eb8499 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 6fbd6666bd [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/worker-index: '1' [e2e-llm-inference-service] statefulset.kubernetes.io/pod-name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-1 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.38/23"],"mac_address":"0a:58:0a:86:00:26","gateway_ips":["10.134.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.134.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.134.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.134.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.134.0.1"}],"ip_address":"10.134.0.38/23","gateway_ip":"10.134.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.134.0.38\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:26\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/leader-name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/size: '2' [e2e-llm-inference-service] openshift.io/scc: openshift-ai-llminferenceservice-scc [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: serviceaccount [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: StatefulSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] uid: babbf4c3-5016-476a-a574-4a6a57b5a703 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-139 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/leader-name: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/size: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:apps.kubernetes.io/pod-index: {} [e2e-llm-inference-service] f:controller-revision-hash: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/group-index: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/group-key: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/name: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/template-revision-hash: {} [e2e-llm-inference-service] f:statefulset.kubernetes.io/pod-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"babbf4c3-5016-476a-a574-4a6a57b5a703"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:add: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:hostname: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:subdomain: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.38"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 8Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-j4mjv [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: LWS_LEADER_ADDRESS [e2e-llm-inference-service] value: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0.llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn.kserve-ci-e2e-test [e2e-llm-inference-service] - name: LWS_GROUP_SIZE [e2e-llm-inference-service] value: '2' [e2e-llm-inference-service] - name: LWS_WORKER_INDEX [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-j4mjv [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - vllm [e2e-llm-inference-service] - serve [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --served-model-name [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --enable-ssl-refresh [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: LWS_LEADER_ADDRESS [e2e-llm-inference-service] value: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0.llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn.kserve-ci-e2e-test [e2e-llm-inference-service] - name: LWS_GROUP_SIZE [e2e-llm-inference-service] value: '2' [e2e-llm-inference-service] - name: LWS_WORKER_INDEX [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-j4mjv [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] add: [e2e-llm-inference-service] - IPC_LOCK [e2e-llm-inference-service] - SYS_RAWIO [e2e-llm-inference-service] - NET_RAW [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb-57cf7736-dockercfg-m6v2w [e2e-llm-inference-service] hostname: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-1 [e2e-llm-inference-service] subdomain: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:54Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] hostIP: 10.0.140.139 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.139 [e2e-llm-inference-service] podIP: 10.134.0.38 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.38 [e2e-llm-inference-service] startTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] finishedAt: '2026-07-13T21:51:53Z' [e2e-llm-inference-service] containerID: cri-o://30899017bacd83774cd78860108ae71e5e3e06d3a89410405068e6a78a3a1f51 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://30899017bacd83774cd78860108ae71e5e3e06d3a89410405068e6a78a3a1f51 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-j4mjv [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo@sha256:afb39fca138b51d019d986229d546531b45a2a3deb73bcf59bd42406e13fbba0 [e2e-llm-inference-service] containerID: cri-o://32fb9d16c5ea519ba7b5ff59b73b9769f9ada258d0a70c307d29a39a7444dd43 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-j4mjv [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-sched4pzq [e2e-llm-inference-service] generateName: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler-74db8b69c5- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f5ada6ac-bbb6-495d-a296-f4aa29ca3d14 [e2e-llm-inference-service] resourceVersion: '81546' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 74db8b69c5 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.39/23"],"mac_address":"0a:58:0a:86:00:27","gateway_ips":["10.134.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.134.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.134.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.134.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.134.0.1"}],"ip_address":"10.134.0.39/23","gateway_ip":"10.134.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.134.0.39\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:27\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler-74db8b69c5 [e2e-llm-inference-service] uid: 23b3b1d0-213e-4424-946a-25b25b2d8e8c [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-140-139 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"23b3b1d0-213e-4424-946a-25b25b2d8e8c"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.v1.cni.cncf.io/network-status: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: kubelet [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.39"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-5zlqh [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-5zlqh [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-5zlqh [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsUser: 1000690000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c20 [e2e-llm-inference-service] fsGroup: 1000690000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa-dockercfg-89lhj [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] tolerations: [e2e-llm-inference-service] - key: node.kubernetes.io/not-ready [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/unreachable [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoExecute [e2e-llm-inference-service] tolerationSeconds: 300 [e2e-llm-inference-service] - key: node.kubernetes.io/memory-pressure [e2e-llm-inference-service] operator: Exists [e2e-llm-inference-service] effect: NoSchedule [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] enableServiceLinks: true [e2e-llm-inference-service] preemptionPolicy: PreemptLowerPriority [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] phase: Running [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: PodReadyToStartContainers [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:50Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:50Z' [e2e-llm-inference-service] - type: Ready [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] hostIP: 10.0.140.139 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.140.139 [e2e-llm-inference-service] podIP: 10.134.0.39 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.39 [e2e-llm-inference-service] startTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] finishedAt: '2026-07-13T21:51:50Z' [e2e-llm-inference-service] containerID: cri-o://9d838c33aa66f3342ac83915452d8f6060fda9cad1b775bcfc0b130376e36c87 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] containerID: cri-o://9d838c33aa66f3342ac83915452d8f6060fda9cad1b775bcfc0b130376e36c87 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-5zlqh [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] containerStatuses: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-13T21:51:50Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://67e97c5e696d9d154f8fd99c696f32ea654b3ab5fbb335533b3bfaebc0eba38b [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-5zlqh [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] user: [e2e-llm-inference-service] linux: [e2e-llm-inference-service] uid: 1000690000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000690000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: acf4cc89-3068-44f3-9679-7d683670766e [e2e-llm-inference-service] resourceVersion: '80881' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa-dockercfg-89lhj [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: openshift.io/image-registry-pull-secrets_service-account-controller [e2e-llm-inference-service] operation: Apply [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa-dockercfg-89lhj"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-559w9"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa-dockercfg-89lhj [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa-dockercfg-89lhj [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 468ab9d3-3e62-468b-8986-2ee64b6b7d80 [e2e-llm-inference-service] resourceVersion: '80856' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: llmisvc-model-fb-opt-125m-route-dc21cb-57cf7736-dockercfg-m6v2w [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: openshift.io/image-registry-pull-secrets_service-account-controller [e2e-llm-inference-service] operation: Apply [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"llmisvc-model-fb-opt-125m-route-dc21cb-57cf7736-dockercfg-m6v2w"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-559w9"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb-57cf7736-dockercfg-m6v2w [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-559w9 [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb-57cf7736-dockercfg-m6v2w [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: b9fe9c7c-86e6-4d9c-a9c0-3f483192ca35 [e2e-llm-inference-service] resourceVersion: '80922' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.108.110 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.108.110 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 99d128c0-a6d4-4c6d-91c1-a418ca47a1a3 [e2e-llm-inference-service] resourceVersion: '80870' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.89.142 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.89.142 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-5b99b48f56 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: a0d481bb-9406-48ff-873d-c7272e4007db [e2e-llm-inference-service] resourceVersion: '80895' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-worker [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] controller.kubernetes.io/hash: 5b99b48f56 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: 269370d6a88f087dbcb80280bf4153dc63eb8499 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 6fbd6666bd [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: StatefulSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] uid: babbf4c3-5016-476a-a574-4a6a57b5a703 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:data: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:controller.kubernetes.io/hash: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/group-index: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/group-key: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/name: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/template-revision-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"babbf4c3-5016-476a-a574-4a6a57b5a703"}: {} [e2e-llm-inference-service] f:revision: {} [e2e-llm-inference-service] data: [e2e-llm-inference-service] spec: [e2e-llm-inference-service] template: [e2e-llm-inference-service] $patch: replace [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/leader-name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/size: '2' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-worker [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: 269370d6a88f087dbcb80280bf4153dc63eb8499 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 6fbd6666bd [e2e-llm-inference-service] spec: [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - args: [e2e-llm-inference-service] - --served-model-name [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --enable-ssl-refresh [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] command: [e2e-llm-inference-service] - vllm [e2e-llm-inference-service] - serve [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] name: main [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] add: [e2e-llm-inference-service] - IPC_LOCK [e2e-llm-inference-service] - SYS_RAWIO [e2e-llm-inference-service] - NET_RAW [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /home [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - mountPath: /tmp [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - mountPath: /dev/shm [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - mountPath: /models [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - mountPath: /var/run/kserve/tls [e2e-llm-inference-service] name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] name: storage-initializer [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 8Gi [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] secretName: llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] revision: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ControllerRevision [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-74bbb45779 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 87f3e316-8856-41a4-9a6e-92439cfe4a25 [e2e-llm-inference-service] resourceVersion: '80868' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-leader [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] controller.kubernetes.io/hash: 74bbb45779 [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 6fbd6666bd [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/worker-index: '0' [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/replicas: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: StatefulSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] uid: fcc065a0-3493-4e2e-828f-0de03f9accda [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:data: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/replicas: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:controller.kubernetes.io/hash: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/name: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/template-revision-hash: {} [e2e-llm-inference-service] f:leaderworkerset.sigs.k8s.io/worker-index: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"fcc065a0-3493-4e2e-828f-0de03f9accda"}: {} [e2e-llm-inference-service] f:revision: {} [e2e-llm-inference-service] data: [e2e-llm-inference-service] spec: [e2e-llm-inference-service] template: [e2e-llm-inference-service] $patch: replace [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/size: '2' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-leader [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 6fbd6666bd [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/worker-index: '0' [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - args: [e2e-llm-inference-service] - --served-model-name [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --enable-ssl-refresh [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] command: [e2e-llm-inference-service] - vllm [e2e-llm-inference-service] - serve [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] name: main [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] add: [e2e-llm-inference-service] - IPC_LOCK [e2e-llm-inference-service] - SYS_RAWIO [e2e-llm-inference-service] - NET_RAW [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /home [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - mountPath: /tmp [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - mountPath: /dev/shm [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - mountPath: /models [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - mountPath: /var/run/kserve/tls [e2e-llm-inference-service] name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] name: storage-initializer [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 8Gi [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] secretName: llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] revision: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ControllerRevision [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 90cd20b8-c3ca-4a62-86ef-da44fe7b0302 [e2e-llm-inference-service] resourceVersion: '81550' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: Recreate [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler-74db8b69c5" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler-74db8b69c5 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 23b3b1d0-213e-4424-946a-25b25b2d8e8c [e2e-llm-inference-service] resourceVersion: '81549' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 74db8b69c5 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler [e2e-llm-inference-service] uid: 90cd20b8-c3ca-4a62-86ef-da44fe7b0302 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/desired-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/max-replicas: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"90cd20b8-c3ca-4a62-86ef-da44fe7b0302"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 74db8b69c5 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 74db8b69c5 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 1f9e1dfe-a35b-4947-aee4-61cc3c4d01c0 [e2e-llm-inference-service] resourceVersion: '80913' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-scc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: edaa79b0-9d23-4c05-af10-5aa7be50bd7d [e2e-llm-inference-service] resourceVersion: '80852' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-prefill [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: ClusterRole [e2e-llm-inference-service] name: openshift-ai-llminferenceservice-scc [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 0438a2b0-1b6c-406e-bfe2-f816079fdc57 [e2e-llm-inference-service] resourceVersion: '80910' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service-x5dsd [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 61a05dce-9a5c-4490-9c19-8a61cbedd531 [e2e-llm-inference-service] resourceVersion: '81547' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service [e2e-llm-inference-service] uid: b9fe9c7c-86e6-4d9c-a9c0-3f483192ca35 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:52:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"b9fe9c7c-86e6-4d9c-a9c0-3f483192ca35"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.134.0.39 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-sched4pzq [e2e-llm-inference-service] uid: f5ada6ac-bbb6-495d-a296-f4aa29ca3d14 [e2e-llm-inference-service] nodeName: ip-10-0-140-139.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-swjgkk [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3a3cbe53-49c7-4e45-8703-40571f36a511 [e2e-llm-inference-service] resourceVersion: '80986' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] uid: 99d128c0-a6d4-4c6d-91c1-a418ca47a1a3 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"99d128c0-a6d4-4c6d-91c1-a418ca47a1a3"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.133.0.53 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] serving: false [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] uid: b51dfba7-bb34-433f-85d6-29c1b655a71f [e2e-llm-inference-service] nodeName: ip-10-0-140-147.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 1f9e1dfe-a35b-4947-aee4-61cc3c4d01c0 [e2e-llm-inference-service] resourceVersion: '80913' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-scc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: edaa79b0-9d23-4c05-af10-5aa7be50bd7d [e2e-llm-inference-service] resourceVersion: '80852' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-prefill [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-prefill [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] name: openshift-ai-llminferenceservice-scc [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 0438a2b0-1b6c-406e-bfe2-f816079fdc57 [e2e-llm-inference-service] resourceVersion: '80910' [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:52:13Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '81396' [e2e-llm-inference-service] uid: d9b7304b-edc9-4297-8ba7-efc27770dc6d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:51:51Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:52:13Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '81396' [e2e-llm-inference-service] uid: d9b7304b-edc9-4297-8ba7-efc27770dc6d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] message: Route was valid [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] message: All references resolved [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] controllerName: openshift.io/gateway-controller/v1 [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:51:51Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:endpointPickerRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:number: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:matchLabels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPorts: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:parents: {} [e2e-llm-inference-service] manager: pilot-discovery [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '81316' [e2e-llm-inference-service] uid: 475649fd-6140-4340-9c8c-3bab4a176fda [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPorts: [e2e-llm-inference-service] - number: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] message: Referenced by an HTTPRoute accepted by the parentRef Gateway [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:52Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:rules: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:authentication: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:public: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:anonymous: {} [e2e-llm-inference-service] f:credentials: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:overrides: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fairness: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:response: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:success: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:headers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:x-gateway-inference-fairness-id: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:x-gateway-inference-objective: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metrics: {} [e2e-llm-inference-service] f:plain: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:expression: {} [e2e-llm-inference-service] f:priority: {} [e2e-llm-inference-service] f:targetRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:52Z' [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Accepted"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Enforced"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:52:02Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '81220' [e2e-llm-inference-service] uid: 183693f0-ca1d-48c9-84ca-f1ddc4e494d7 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:51:59Z' [e2e-llm-inference-service] message: AuthPolicy has been accepted [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:52:02Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: leaderworkerset.x-k8s.io/v1 [e2e-llm-inference-service] kind: LeaderWorkerSet [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-worker [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: leaderworkerset.x-k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:hpaPodSelector: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] manager: lws [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] - apiVersion: leaderworkerset.x-k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:leaderWorkerTemplate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:leaderTemplate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:add: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:size: {} [e2e-llm-inference-service] f:workerTemplate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:add: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:rolloutStrategy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupPolicy: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '80908' [e2e-llm-inference-service] uid: ac8c0d07-fe0a-4d18-8eec-b8a0328e7d5e [e2e-llm-inference-service] spec: [e2e-llm-inference-service] leaderWorkerTemplate: [e2e-llm-inference-service] leaderTemplate: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-leader [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - args: [e2e-llm-inference-service] - --served-model-name [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --enable-ssl-refresh [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] command: [e2e-llm-inference-service] - vllm [e2e-llm-inference-service] - serve [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] name: main [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] add: [e2e-llm-inference-service] - IPC_LOCK [e2e-llm-inference-service] - SYS_RAWIO [e2e-llm-inference-service] - NET_RAW [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /home [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - mountPath: /tmp [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - mountPath: /dev/shm [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - mountPath: /models [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - mountPath: /var/run/kserve/tls [e2e-llm-inference-service] name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] name: storage-initializer [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 8Gi [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] restartPolicy: RecreateGroupOnPodRestart [e2e-llm-inference-service] size: 2 [e2e-llm-inference-service] workerTemplate: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-worker [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] spec: [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - args: [e2e-llm-inference-service] - --served-model-name [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --enable-ssl-refresh [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] command: [e2e-llm-inference-service] - vllm [e2e-llm-inference-service] - serve [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] name: main [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] add: [e2e-llm-inference-service] - IPC_LOCK [e2e-llm-inference-service] - SYS_RAWIO [e2e-llm-inference-service] - NET_RAW [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /home [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - mountPath: /tmp [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - mountPath: /dev/shm [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - mountPath: /models [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - mountPath: /var/run/kserve/tls [e2e-llm-inference-service] name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:10d11eb5432cd26f2fc3d3776649a96acdfb9765433f51db6bb597849bf71311 [e2e-llm-inference-service] name: storage-initializer [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 8Gi [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] - emptyDir: {} [e2e-llm-inference-service] name: kserve-provision-location [e2e-llm-inference-service] networkConfig: [e2e-llm-inference-service] subdomainPolicy: Shared [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] rolloutStrategy: [e2e-llm-inference-service] rollingUpdateConfiguration: [e2e-llm-inference-service] maxSurge: 0 [e2e-llm-inference-service] maxUnavailable: 1 [e2e-llm-inference-service] partition: 0 [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] startupPolicy: LeaderCreated [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] message: Replicas are progressing [e2e-llm-inference-service] reason: GroupsProgressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Progressing [e2e-llm-inference-service] hpaPodSelector: leaderworkerset.sigs.k8s.io/name=llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn,leaderworkerset.sigs.k8s.io/worker-index=0 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '80969' [e2e-llm-inference-service] uid: f7422da8-ccf4-4ce7-a291-dc30e77d9595 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '81325' [e2e-llm-inference-service] uid: a0df0f4d-1d94-4552-9e0b-6e571c4db6a0 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-dc21cb14-inference--ip-1de604e1.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '80976' [e2e-llm-inference-service] uid: bd8cd8a4-8ab9-4cbf-ad41-c5e63b94bc58 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '80969' [e2e-llm-inference-service] uid: f7422da8-ccf4-4ce7-a291-dc30e77d9595 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '81325' [e2e-llm-inference-service] uid: a0df0f4d-1d94-4552-9e0b-6e571c4db6a0 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-dc21cb14-inference--ip-1de604e1.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '80976' [e2e-llm-inference-service] uid: bd8cd8a4-8ab9-4cbf-ad41-c5e63b94bc58 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '80969' [e2e-llm-inference-service] uid: f7422da8-ccf4-4ce7-a291-dc30e77d9595 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:52:10Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '81325' [e2e-llm-inference-service] uid: a0df0f4d-1d94-4552-9e0b-6e571c4db6a0 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-dc21cb14-inference--ip-1de604e1.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exportTo: {} [e2e-llm-inference-service] f:host: {} [e2e-llm-inference-service] f:trafficPolicy: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:tls: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:caCertificates: {} [e2e-llm-inference-service] f:insecureSkipVerify: {} [e2e-llm-inference-service] f:mode: {} [e2e-llm-inference-service] f:sni: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:49Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '80976' [e2e-llm-inference-service] uid: bd8cd8a4-8ab9-4cbf-ad41-c5e63b94bc58 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"d16b9105-7f30-469c-87a6-626925e7feb8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:extensionRef: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureMode: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:portNumber: {} [e2e-llm-inference-service] f:selector: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:targetPortNumber: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-13T21:51:48Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] uid: d16b9105-7f30-469c-87a6-626925e7feb8 [e2e-llm-inference-service] resourceVersion: '80933' [e2e-llm-inference-service] uid: 56f270f6-8e69-414e-bae7-a853bb70c14d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-1 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T22:06:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-worker [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] apps.kubernetes.io/pod-index: '1' [e2e-llm-inference-service] controller-revision-hash: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-5b99b48f56 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: 269370d6a88f087dbcb80280bf4153dc63eb8499 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 6fbd6666bd [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/worker-index: '1' [e2e-llm-inference-service] statefulset.kubernetes.io/pod-name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-1 [e2e-llm-inference-service] timestamp: '2026-07-13T22:06:15Z' [e2e-llm-inference-service] window: 19.448s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 5748354n [e2e-llm-inference-service] memory: 2413164Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-sched4pzq [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-13T22:06:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 74db8b69c5 [e2e-llm-inference-service] timestamp: '2026-07-13T22:06:02Z' [e2e-llm-inference-service] window: 12.706s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 1329686n [e2e-llm-inference-service] memory: 21208Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_inference_service] [2026-07-13T22:06:27.539264] end - ❌ 902.573s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-13T21:52:12Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-13T21:52:30Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-13T21:51:52Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] _ TestStorageVersionMigration.test_storage_version_migration_after_simulated_upgrade _ [e2e-llm-inference-service] [gw1] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.cluster_cpu [e2e-llm-inference-service] @pytest.mark.cluster_single_node [e2e-llm-inference-service] def test_storage_version_migration_after_simulated_upgrade(self): [e2e-llm-inference-service] """Test that storage version migration runs successfully after controller restart. [e2e-llm-inference-service] [e2e-llm-inference-service] Simulates an upgrade by: [e2e-llm-inference-service] 1. Creating a resource via v1alpha1 API [e2e-llm-inference-service] 2. Patching CRD storedVersions to include the stale v1alpha1 version [e2e-llm-inference-service] 3. Restarting the controller (which triggers migration on startup) [e2e-llm-inference-service] 4. Verifying storedVersions is cleaned up to only contain v1alpha2 [e2e-llm-inference-service] """ [e2e-llm-inference-service] # 1. Create a config resource via v1alpha1 so we have something to migrate [e2e-llm-inference-service] config_name = "migration-test-config" [e2e-llm-inference-service] config = { [e2e-llm-inference-service] "apiVersion": f"{constants.KSERVE_GROUP}/{constants.KSERVE_V1ALPHA1_VERSION}", [e2e-llm-inference-service] "kind": "LLMInferenceServiceConfig", [e2e-llm-inference-service] "metadata": { [e2e-llm-inference-service] "name": config_name, [e2e-llm-inference-service] "namespace": self.namespace, [e2e-llm-inference-service] }, [e2e-llm-inference-service] "spec": { [e2e-llm-inference-service] "model": {"uri": OPT_125M_MODEL_URI, "name": "facebook/opt-125m"}, [e2e-llm-inference-service] "router": {"route": {}}, [e2e-llm-inference-service] "template": { [e2e-llm-inference-service] "containers": [ [e2e-llm-inference-service] { [e2e-llm-inference-service] "name": "main", [e2e-llm-inference-service] "image": "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0", [e2e-llm-inference-service] "resources": { [e2e-llm-inference-service] "limits": {"cpu": "1", "memory": "2Gi"}, [e2e-llm-inference-service] "requests": {"cpu": "100m", "memory": "512Mi"}, [e2e-llm-inference-service] }, [e2e-llm-inference-service] } [e2e-llm-inference-service] ] [e2e-llm-inference-service] }, [e2e-llm-inference-service] }, [e2e-llm-inference-service] } [e2e-llm-inference-service] > self.kserve_client.api_instance.create_namespaced_custom_object( [e2e-llm-inference-service] constants.KSERVE_GROUP, [e2e-llm-inference-service] constants.KSERVE_V1ALPHA1_VERSION, [e2e-llm-inference-service] self.namespace, [e2e-llm-inference-service] KSERVE_PLURAL_LLMINFERENCESERVICECONFIG, [e2e-llm-inference-service] config, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_storage_version_migration.py:151: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] group = 'serving.kserve.io', version = 'v1alpha1' [e2e-llm-inference-service] namespace = 'kserve-ci-e2e-test', plural = 'llminferenceserviceconfigs' [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'migration-test...ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0', 'name': 'main', 'resources': {'limits': {...}, 'requests': {...}}}]}}} [e2e-llm-inference-service] kwargs = {'_return_http_data_only': True} [e2e-llm-inference-service] [e2e-llm-inference-service] def create_namespaced_custom_object(self, group, version, namespace, plural, body, **kwargs): # noqa: E501 [e2e-llm-inference-service] """create_namespaced_custom_object # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] Creates a namespace scoped Custom object # noqa: E501 [e2e-llm-inference-service] This method makes a synchronous HTTP request by default. To make an [e2e-llm-inference-service] asynchronous HTTP request, please pass async_req=True [e2e-llm-inference-service] >>> thread = api.create_namespaced_custom_object(group, version, namespace, plural, body, async_req=True) [e2e-llm-inference-service] >>> result = thread.get() [e2e-llm-inference-service] [e2e-llm-inference-service] :param async_req bool: execute request asynchronously [e2e-llm-inference-service] :param str group: The custom resource's group name (required) [e2e-llm-inference-service] :param str version: The custom resource's version (required) [e2e-llm-inference-service] :param str namespace: The custom resource's namespace (required) [e2e-llm-inference-service] :param str plural: The custom resource's plural name. For TPRs this would be lowercase plural kind. (required) [e2e-llm-inference-service] :param object body: The JSON schema of the Resource to create. (required) [e2e-llm-inference-service] :param str pretty: If 'true', then the output is pretty printed. [e2e-llm-inference-service] :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed [e2e-llm-inference-service] :param str field_manager: fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint. [e2e-llm-inference-service] :param str field_validation: fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default in v1.23+ - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. (optional) [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] :return: object [e2e-llm-inference-service] If the method is called asynchronously, [e2e-llm-inference-service] returns the request thread. [e2e-llm-inference-service] """ [e2e-llm-inference-service] kwargs['_return_http_data_only'] = True [e2e-llm-inference-service] > return self.create_namespaced_custom_object_with_http_info(group, version, namespace, plural, body, **kwargs) # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:231: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] group = 'serving.kserve.io', version = 'v1alpha1' [e2e-llm-inference-service] namespace = 'kserve-ci-e2e-test', plural = 'llminferenceserviceconfigs' [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'migration-test...ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0', 'name': 'main', 'resources': {'limits': {...}, 'requests': {...}}}]}}} [e2e-llm-inference-service] kwargs = {'_return_http_data_only': True} [e2e-llm-inference-service] local_var_params = {'_return_http_data_only': True, 'all_params': ['group', 'version', 'namespace', 'plural', 'body', 'pretty', ...], 'au...ers': [{'image': 'public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0', 'name': 'main', 'resources': {...}}]}}}, ...} [e2e-llm-inference-service] all_params = ['group', 'version', 'namespace', 'plural', 'body', 'pretty', ...] [e2e-llm-inference-service] key = '_return_http_data_only', val = True, collection_formats = {} [e2e-llm-inference-service] path_params = {'group': 'serving.kserve.io', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceserviceconfigs', 'version': 'v1alpha1'} [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] [e2e-llm-inference-service] def create_namespaced_custom_object_with_http_info(self, group, version, namespace, plural, body, **kwargs): # noqa: E501 [e2e-llm-inference-service] """create_namespaced_custom_object # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] Creates a namespace scoped Custom object # noqa: E501 [e2e-llm-inference-service] This method makes a synchronous HTTP request by default. To make an [e2e-llm-inference-service] asynchronous HTTP request, please pass async_req=True [e2e-llm-inference-service] >>> thread = api.create_namespaced_custom_object_with_http_info(group, version, namespace, plural, body, async_req=True) [e2e-llm-inference-service] >>> result = thread.get() [e2e-llm-inference-service] [e2e-llm-inference-service] :param async_req bool: execute request asynchronously [e2e-llm-inference-service] :param str group: The custom resource's group name (required) [e2e-llm-inference-service] :param str version: The custom resource's version (required) [e2e-llm-inference-service] :param str namespace: The custom resource's namespace (required) [e2e-llm-inference-service] :param str plural: The custom resource's plural name. For TPRs this would be lowercase plural kind. (required) [e2e-llm-inference-service] :param object body: The JSON schema of the Resource to create. (required) [e2e-llm-inference-service] :param str pretty: If 'true', then the output is pretty printed. [e2e-llm-inference-service] :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed [e2e-llm-inference-service] :param str field_manager: fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint. [e2e-llm-inference-service] :param str field_validation: fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default in v1.23+ - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. (optional) [e2e-llm-inference-service] :param _return_http_data_only: response data without head status code [e2e-llm-inference-service] and headers [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] :return: tuple(object, status_code(int), headers(HTTPHeaderDict)) [e2e-llm-inference-service] If the method is called asynchronously, [e2e-llm-inference-service] returns the request thread. [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] local_var_params = locals() [e2e-llm-inference-service] [e2e-llm-inference-service] all_params = [ [e2e-llm-inference-service] 'group', [e2e-llm-inference-service] 'version', [e2e-llm-inference-service] 'namespace', [e2e-llm-inference-service] 'plural', [e2e-llm-inference-service] 'body', [e2e-llm-inference-service] 'pretty', [e2e-llm-inference-service] 'dry_run', [e2e-llm-inference-service] 'field_manager', [e2e-llm-inference-service] 'field_validation' [e2e-llm-inference-service] ] [e2e-llm-inference-service] all_params.extend( [e2e-llm-inference-service] [ [e2e-llm-inference-service] 'async_req', [e2e-llm-inference-service] '_return_http_data_only', [e2e-llm-inference-service] '_preload_content', [e2e-llm-inference-service] '_request_timeout' [e2e-llm-inference-service] ] [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] for key, val in six.iteritems(local_var_params['kwargs']): [e2e-llm-inference-service] if key not in all_params: [e2e-llm-inference-service] raise ApiTypeError( [e2e-llm-inference-service] "Got an unexpected keyword argument '%s'" [e2e-llm-inference-service] " to method create_namespaced_custom_object" % key [e2e-llm-inference-service] ) [e2e-llm-inference-service] local_var_params[key] = val [e2e-llm-inference-service] del local_var_params['kwargs'] [e2e-llm-inference-service] # verify the required parameter 'group' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('group' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['group'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `group` when calling `create_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'version' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('version' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['version'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `version` when calling `create_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'namespace' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('namespace' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['namespace'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `namespace` when calling `create_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'plural' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('plural' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['plural'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `plural` when calling `create_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] # verify the required parameter 'body' is set [e2e-llm-inference-service] if self.api_client.client_side_validation and ('body' not in local_var_params or # noqa: E501 [e2e-llm-inference-service] local_var_params['body'] is None): # noqa: E501 [e2e-llm-inference-service] raise ApiValueError("Missing the required parameter `body` when calling `create_namespaced_custom_object`") # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] collection_formats = {} [e2e-llm-inference-service] [e2e-llm-inference-service] path_params = {} [e2e-llm-inference-service] if 'group' in local_var_params: [e2e-llm-inference-service] path_params['group'] = local_var_params['group'] # noqa: E501 [e2e-llm-inference-service] if 'version' in local_var_params: [e2e-llm-inference-service] path_params['version'] = local_var_params['version'] # noqa: E501 [e2e-llm-inference-service] if 'namespace' in local_var_params: [e2e-llm-inference-service] path_params['namespace'] = local_var_params['namespace'] # noqa: E501 [e2e-llm-inference-service] if 'plural' in local_var_params: [e2e-llm-inference-service] path_params['plural'] = local_var_params['plural'] # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] if 'pretty' in local_var_params and local_var_params['pretty'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('pretty', local_var_params['pretty'])) # noqa: E501 [e2e-llm-inference-service] if 'dry_run' in local_var_params and local_var_params['dry_run'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('dryRun', local_var_params['dry_run'])) # noqa: E501 [e2e-llm-inference-service] if 'field_manager' in local_var_params and local_var_params['field_manager'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('fieldManager', local_var_params['field_manager'])) # noqa: E501 [e2e-llm-inference-service] if 'field_validation' in local_var_params and local_var_params['field_validation'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('fieldValidation', local_var_params['field_validation'])) # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] header_params = {} [e2e-llm-inference-service] [e2e-llm-inference-service] form_params = [] [e2e-llm-inference-service] local_var_files = {} [e2e-llm-inference-service] [e2e-llm-inference-service] body_params = None [e2e-llm-inference-service] if 'body' in local_var_params: [e2e-llm-inference-service] body_params = local_var_params['body'] [e2e-llm-inference-service] # HTTP header `Accept` [e2e-llm-inference-service] header_params['Accept'] = self.api_client.select_header_accept( [e2e-llm-inference-service] ['application/json']) # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] # Authentication setting [e2e-llm-inference-service] auth_settings = ['BearerToken'] # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] > return self.api_client.call_api( [e2e-llm-inference-service] '/apis/{group}/{version}/namespaces/{namespace}/{plural}', 'POST', [e2e-llm-inference-service] path_params, [e2e-llm-inference-service] query_params, [e2e-llm-inference-service] header_params, [e2e-llm-inference-service] body=body_params, [e2e-llm-inference-service] post_params=form_params, [e2e-llm-inference-service] files=local_var_files, [e2e-llm-inference-service] response_type='object', # noqa: E501 [e2e-llm-inference-service] auth_settings=auth_settings, [e2e-llm-inference-service] async_req=local_var_params.get('async_req'), [e2e-llm-inference-service] _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 [e2e-llm-inference-service] _preload_content=local_var_params.get('_preload_content', True), [e2e-llm-inference-service] _request_timeout=local_var_params.get('_request_timeout'), [e2e-llm-inference-service] collection_formats=collection_formats) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/custom_objects_api.py:354: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] resource_path = '/apis/{group}/{version}/namespaces/{namespace}/{plural}' [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] path_params = {'group': 'serving.kserve.io', 'namespace': 'kserve-ci-e2e-test', 'plural': 'llminferenceserviceconfigs', 'version': 'v1alpha1'} [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] header_params = {'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'migration-test...ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0', 'name': 'main', 'resources': {'limits': {...}, 'requests': {...}}}]}}} [e2e-llm-inference-service] post_params = [], files = {}, response_type = 'object' [e2e-llm-inference-service] auth_settings = ['BearerToken'], async_req = None, _return_http_data_only = True [e2e-llm-inference-service] collection_formats = {}, _preload_content = True, _request_timeout = None [e2e-llm-inference-service] _host = None [e2e-llm-inference-service] [e2e-llm-inference-service] def call_api(self, resource_path, method, [e2e-llm-inference-service] path_params=None, query_params=None, header_params=None, [e2e-llm-inference-service] body=None, post_params=None, files=None, [e2e-llm-inference-service] response_type=None, auth_settings=None, async_req=None, [e2e-llm-inference-service] _return_http_data_only=None, collection_formats=None, [e2e-llm-inference-service] _preload_content=True, _request_timeout=None, _host=None): [e2e-llm-inference-service] """Makes the HTTP request (synchronous) and returns deserialized data. [e2e-llm-inference-service] [e2e-llm-inference-service] To make an async_req request, set the async_req parameter. [e2e-llm-inference-service] [e2e-llm-inference-service] :param resource_path: Path to method endpoint. [e2e-llm-inference-service] :param method: Method to call. [e2e-llm-inference-service] :param path_params: Path parameters in the url. [e2e-llm-inference-service] :param query_params: Query parameters in the url. [e2e-llm-inference-service] :param header_params: Header parameters to be [e2e-llm-inference-service] placed in the request header. [e2e-llm-inference-service] :param body: Request body. [e2e-llm-inference-service] :param post_params dict: Request post form parameters, [e2e-llm-inference-service] for `application/x-www-form-urlencoded`, `multipart/form-data`. [e2e-llm-inference-service] :param auth_settings list: Auth Settings names for the request. [e2e-llm-inference-service] :param response: Response data type. [e2e-llm-inference-service] :param files dict: key -> filename, value -> filepath, [e2e-llm-inference-service] for `multipart/form-data`. [e2e-llm-inference-service] :param async_req bool: execute request asynchronously [e2e-llm-inference-service] :param _return_http_data_only: response data without head status code [e2e-llm-inference-service] and headers [e2e-llm-inference-service] :param collection_formats: dict of collection formats for path, query, [e2e-llm-inference-service] header, and post parameters. [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] :return: [e2e-llm-inference-service] If async_req parameter is True, [e2e-llm-inference-service] the request will be called asynchronously. [e2e-llm-inference-service] The method will return the request thread. [e2e-llm-inference-service] If parameter async_req is False or missing, [e2e-llm-inference-service] then the method will return the response directly. [e2e-llm-inference-service] """ [e2e-llm-inference-service] if not async_req: [e2e-llm-inference-service] > return self.__call_api(resource_path, method, [e2e-llm-inference-service] path_params, query_params, header_params, [e2e-llm-inference-service] body, post_params, files, [e2e-llm-inference-service] response_type, auth_settings, [e2e-llm-inference-service] _return_http_data_only, collection_formats, [e2e-llm-inference-service] _preload_content, _request_timeout, _host) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:348: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] resource_path = '/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs' [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] path_params = [('group', 'serving.kserve.io'), ('version', 'v1alpha1'), ('namespace', 'kserve-ci-e2e-test'), ('plural', 'llminferenceserviceconfigs')] [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] header_params = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'migration-test...ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0', 'name': 'main', 'resources': {'limits': {...}, 'requests': {...}}}]}}} [e2e-llm-inference-service] post_params = [], files = {}, response_type = 'object' [e2e-llm-inference-service] auth_settings = ['BearerToken'], _return_http_data_only = True [e2e-llm-inference-service] collection_formats = {}, _preload_content = True, _request_timeout = None [e2e-llm-inference-service] _host = None [e2e-llm-inference-service] [e2e-llm-inference-service] def __call_api( [e2e-llm-inference-service] self, resource_path, method, path_params=None, [e2e-llm-inference-service] query_params=None, header_params=None, body=None, post_params=None, [e2e-llm-inference-service] files=None, response_type=None, auth_settings=None, [e2e-llm-inference-service] _return_http_data_only=None, collection_formats=None, [e2e-llm-inference-service] _preload_content=True, _request_timeout=None, _host=None): [e2e-llm-inference-service] [e2e-llm-inference-service] config = self.configuration [e2e-llm-inference-service] [e2e-llm-inference-service] # header parameters [e2e-llm-inference-service] header_params = header_params or {} [e2e-llm-inference-service] header_params.update(self.default_headers) [e2e-llm-inference-service] if self.cookie: [e2e-llm-inference-service] header_params['Cookie'] = self.cookie [e2e-llm-inference-service] if header_params: [e2e-llm-inference-service] header_params = self.sanitize_for_serialization(header_params) [e2e-llm-inference-service] header_params = dict(self.parameters_to_tuples(header_params, [e2e-llm-inference-service] collection_formats)) [e2e-llm-inference-service] [e2e-llm-inference-service] # path parameters [e2e-llm-inference-service] if path_params: [e2e-llm-inference-service] path_params = self.sanitize_for_serialization(path_params) [e2e-llm-inference-service] path_params = self.parameters_to_tuples(path_params, [e2e-llm-inference-service] collection_formats) [e2e-llm-inference-service] for k, v in path_params: [e2e-llm-inference-service] # specified safe chars, encode everything [e2e-llm-inference-service] resource_path = resource_path.replace( [e2e-llm-inference-service] '{%s}' % k, [e2e-llm-inference-service] quote(str(v), safe=config.safe_chars_for_path_param) [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # query parameters [e2e-llm-inference-service] if query_params: [e2e-llm-inference-service] query_params = self.sanitize_for_serialization(query_params) [e2e-llm-inference-service] query_params = self.parameters_to_tuples(query_params, [e2e-llm-inference-service] collection_formats) [e2e-llm-inference-service] [e2e-llm-inference-service] # post parameters [e2e-llm-inference-service] if post_params or files: [e2e-llm-inference-service] post_params = post_params if post_params else [] [e2e-llm-inference-service] post_params = self.sanitize_for_serialization(post_params) [e2e-llm-inference-service] post_params = self.parameters_to_tuples(post_params, [e2e-llm-inference-service] collection_formats) [e2e-llm-inference-service] post_params.extend(self.files_parameters(files)) [e2e-llm-inference-service] [e2e-llm-inference-service] # auth setting [e2e-llm-inference-service] self.update_params_for_auth(header_params, query_params, auth_settings) [e2e-llm-inference-service] [e2e-llm-inference-service] # body [e2e-llm-inference-service] if body: [e2e-llm-inference-service] body = self.sanitize_for_serialization(body) [e2e-llm-inference-service] [e2e-llm-inference-service] # request url [e2e-llm-inference-service] if _host is None: [e2e-llm-inference-service] url = self.configuration.host + resource_path [e2e-llm-inference-service] else: [e2e-llm-inference-service] # use server/host defined in path or operation instead [e2e-llm-inference-service] url = _host + resource_path [e2e-llm-inference-service] [e2e-llm-inference-service] # perform request and return response [e2e-llm-inference-service] > response_data = self.request( [e2e-llm-inference-service] method, url, query_params=query_params, headers=header_params, [e2e-llm-inference-service] post_params=post_params, body=body, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:180: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = 'https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs' [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] post_params = [] [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'migration-test...ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0', 'name': 'main', 'resources': {'limits': {...}, 'requests': {...}}}]}}} [e2e-llm-inference-service] _preload_content = True, _request_timeout = None [e2e-llm-inference-service] [e2e-llm-inference-service] def request(self, method, url, query_params=None, headers=None, [e2e-llm-inference-service] post_params=None, body=None, _preload_content=True, [e2e-llm-inference-service] _request_timeout=None): [e2e-llm-inference-service] """Makes the HTTP request using RESTClient.""" [e2e-llm-inference-service] if method == "GET": [e2e-llm-inference-service] return self.rest_client.GET(url, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] elif method == "HEAD": [e2e-llm-inference-service] return self.rest_client.HEAD(url, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] elif method == "OPTIONS": [e2e-llm-inference-service] return self.rest_client.OPTIONS(url, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout) [e2e-llm-inference-service] elif method == "POST": [e2e-llm-inference-service] > return self.rest_client.POST(url, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] post_params=post_params, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout, [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api_client.py:391: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] url = 'https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs' [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] query_params = [], post_params = [] [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'migration-test...ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0', 'name': 'main', 'resources': {'limits': {...}, 'requests': {...}}}]}}} [e2e-llm-inference-service] _preload_content = True, _request_timeout = None [e2e-llm-inference-service] [e2e-llm-inference-service] def POST(self, url, headers=None, query_params=None, post_params=None, [e2e-llm-inference-service] body=None, _preload_content=True, _request_timeout=None): [e2e-llm-inference-service] > return self.request("POST", url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] query_params=query_params, [e2e-llm-inference-service] post_params=post_params, [e2e-llm-inference-service] _preload_content=_preload_content, [e2e-llm-inference-service] _request_timeout=_request_timeout, [e2e-llm-inference-service] body=body) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:279: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = 'https://abc8a0cf66a9a44cba4c61b8a1456aeb-75321b9aa6cba46b.elb.us-east-1.amazonaws.com:6443/apis/serving.kserve.io/v1alpha1/namespaces/kserve-ci-e2e-test/llminferenceserviceconfigs' [e2e-llm-inference-service] query_params = [] [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] body = {'apiVersion': 'serving.kserve.io/v1alpha1', 'kind': 'LLMInferenceServiceConfig', 'metadata': {'name': 'migration-test...ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0', 'name': 'main', 'resources': {'limits': {...}, 'requests': {...}}}]}}} [e2e-llm-inference-service] post_params = {}, _preload_content = True, _request_timeout = None [e2e-llm-inference-service] [e2e-llm-inference-service] def request(self, method, url, query_params=None, headers=None, [e2e-llm-inference-service] body=None, post_params=None, _preload_content=True, [e2e-llm-inference-service] _request_timeout=None): [e2e-llm-inference-service] """Perform requests. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: http request method [e2e-llm-inference-service] :param url: http request url [e2e-llm-inference-service] :param query_params: query parameters in the url [e2e-llm-inference-service] :param headers: http request headers [e2e-llm-inference-service] :param body: request json body, for `application/json` [e2e-llm-inference-service] :param post_params: request post parameters, [e2e-llm-inference-service] `application/x-www-form-urlencoded` [e2e-llm-inference-service] and `multipart/form-data` [e2e-llm-inference-service] :param _preload_content: if False, the urllib3.HTTPResponse object will [e2e-llm-inference-service] be returned without reading/decoding response [e2e-llm-inference-service] data. Default is True. [e2e-llm-inference-service] :param _request_timeout: timeout setting for this request. If one [e2e-llm-inference-service] number provided, it will be total request [e2e-llm-inference-service] timeout. It can also be a pair (tuple) of [e2e-llm-inference-service] (connection, read) timeouts. [e2e-llm-inference-service] """ [e2e-llm-inference-service] method = method.upper() [e2e-llm-inference-service] assert method in ['GET', 'HEAD', 'DELETE', 'POST', 'PUT', [e2e-llm-inference-service] 'PATCH', 'OPTIONS'] [e2e-llm-inference-service] [e2e-llm-inference-service] if post_params and body: [e2e-llm-inference-service] raise ApiValueError( [e2e-llm-inference-service] "body parameter cannot be used with post_params parameter." [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] post_params = post_params or {} [e2e-llm-inference-service] headers = headers or {} [e2e-llm-inference-service] [e2e-llm-inference-service] timeout = None [e2e-llm-inference-service] if _request_timeout: [e2e-llm-inference-service] if isinstance(_request_timeout, (int, ) if six.PY3 else (int, long)): # noqa: E501,F821 [e2e-llm-inference-service] timeout = urllib3.Timeout(total=_request_timeout) [e2e-llm-inference-service] elif (isinstance(_request_timeout, tuple) and [e2e-llm-inference-service] len(_request_timeout) == 2): [e2e-llm-inference-service] timeout = urllib3.Timeout( [e2e-llm-inference-service] connect=_request_timeout[0], read=_request_timeout[1]) [e2e-llm-inference-service] [e2e-llm-inference-service] if 'Content-Type' not in headers: [e2e-llm-inference-service] headers['Content-Type'] = 'application/json' [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # For `POST`, `PUT`, `PATCH`, `OPTIONS`, `DELETE` [e2e-llm-inference-service] if method in ['POST', 'PUT', 'PATCH', 'OPTIONS', 'DELETE']: [e2e-llm-inference-service] if query_params: [e2e-llm-inference-service] url += '?' + urlencode(query_params) [e2e-llm-inference-service] if (re.search('json', headers['Content-Type'], re.IGNORECASE) or [e2e-llm-inference-service] headers['Content-Type'] == 'application/apply-patch+yaml'): [e2e-llm-inference-service] if headers['Content-Type'] == 'application/json-patch+json': [e2e-llm-inference-service] if not isinstance(body, list): [e2e-llm-inference-service] headers['Content-Type'] = \ [e2e-llm-inference-service] 'application/strategic-merge-patch+json' [e2e-llm-inference-service] request_body = None [e2e-llm-inference-service] if body is not None: [e2e-llm-inference-service] request_body = json.dumps(body) [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] body=request_body, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] elif headers['Content-Type'] == 'application/x-www-form-urlencoded': # noqa: E501 [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] fields=post_params, [e2e-llm-inference-service] encode_multipart=False, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] elif headers['Content-Type'] == 'multipart/form-data': [e2e-llm-inference-service] # must del headers['Content-Type'], or the correct [e2e-llm-inference-service] # Content-Type which generated by urllib3 will be [e2e-llm-inference-service] # overwritten. [e2e-llm-inference-service] del headers['Content-Type'] [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] fields=post_params, [e2e-llm-inference-service] encode_multipart=True, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] # Pass a `string` parameter directly in the body to support [e2e-llm-inference-service] # other content types than Json when `body` argument is [e2e-llm-inference-service] # provided in serialized form [e2e-llm-inference-service] elif isinstance(body, str) or isinstance(body, bytes): [e2e-llm-inference-service] request_body = body [e2e-llm-inference-service] r = self.pool_manager.request( [e2e-llm-inference-service] method, url, [e2e-llm-inference-service] body=request_body, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] else: [e2e-llm-inference-service] # Cannot generate the request from given parameters [e2e-llm-inference-service] msg = """Cannot prepare a request message for provided [e2e-llm-inference-service] arguments. Please check that your arguments match [e2e-llm-inference-service] declared content type.""" [e2e-llm-inference-service] raise ApiException(status=0, reason=msg) [e2e-llm-inference-service] # For `GET`, `HEAD` [e2e-llm-inference-service] else: [e2e-llm-inference-service] r = self.pool_manager.request(method, url, [e2e-llm-inference-service] fields=query_params, [e2e-llm-inference-service] preload_content=_preload_content, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] headers=headers) [e2e-llm-inference-service] except urllib3.exceptions.SSLError as e: [e2e-llm-inference-service] msg = "{0}\n{1}".format(type(e).__name__, str(e)) [e2e-llm-inference-service] raise ApiException(status=0, reason=msg) [e2e-llm-inference-service] [e2e-llm-inference-service] if _preload_content: [e2e-llm-inference-service] r = RESTResponse(r) [e2e-llm-inference-service] [e2e-llm-inference-service] # In the python 3, the response.data is bytes. [e2e-llm-inference-service] # we need to decode it to string. [e2e-llm-inference-service] if six.PY3: [e2e-llm-inference-service] r.data = r.data.decode('utf8') [e2e-llm-inference-service] [e2e-llm-inference-service] # log response body [e2e-llm-inference-service] logger.debug("response body: %s", r.data) [e2e-llm-inference-service] [e2e-llm-inference-service] if not 200 <= r.status <= 299: [e2e-llm-inference-service] > raise ApiException(http_resp=r) [e2e-llm-inference-service] E kubernetes.client.exceptions.ApiException: (500) [e2e-llm-inference-service] E Reason: Internal Server Error [e2e-llm-inference-service] E HTTP response headers: HTTPHeaderDict({'Audit-Id': '9ba752cc-fbc7-4911-b3e2-604b9a48b2e5', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'X-Kubernetes-Pf-Flowschema-Uid': 'c30fff65-8b8a-47f0-8303-5f205881ee46', 'X-Kubernetes-Pf-Prioritylevel-Uid': '1d0f3173-41ee-4f4d-bdbf-9bfbca43ee13', 'Date': 'Mon, 13 Jul 2026 22:11:24 GMT', 'Content-Length': '833'}) [e2e-llm-inference-service] E HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"Internal error occurred: failed calling webhook \"llminferenceserviceconfig.kserve-webhook-server.v1alpha1.validator\": failed to call webhook: Post \"https://llmisvc-webhook-server-service.kserve.svc:443/validate-serving-kserve-io-v1alpha1-llminferenceserviceconfig?timeout=10s\": no endpoints available for service \"llmisvc-webhook-server-service\"","reason":"InternalError","details":{"causes":[{"message":"failed calling webhook \"llminferenceserviceconfig.kserve-webhook-server.v1alpha1.validator\": failed to call webhook: Post \"https://llmisvc-webhook-server-service.kserve.svc:443/validate-serving-kserve-io-v1alpha1-llminferenceserviceconfig?timeout=10s\": no endpoints available for service \"llmisvc-webhook-server-service\""}]},"code":500} [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:238: ApiException [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] =============================== warnings summary =============================== [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-precise-prefix-cache-inline-config-workload-llmd-simulator-kvcache] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-gateway-ref-router-with-managed-route-model-fb-opt-125m-workload-llmd-simulator] [e2e-llm-inference-service] /workspace/source/python/kserve/.venv/lib64/python3.11/site-packages/pytest_asyncio/plugin.py:761: DeprecationWarning: The event_loop fixture provided by pytest-asyncio has been redefined in [e2e-llm-inference-service] /workspace/source/test/e2e/conftest.py:43 [e2e-llm-inference-service] Replacing the event_loop fixture with a custom implementation is deprecated [e2e-llm-inference-service] and will lead to errors in the future. [e2e-llm-inference-service] If you want to request an asyncio event loop with a scope other than function [e2e-llm-inference-service] scope, use the "scope" argument to the asyncio mark when marking the tests. [e2e-llm-inference-service] If you want to return different types of event loops, use the event_loop_policy [e2e-llm-inference-service] fixture. [e2e-llm-inference-service] [e2e-llm-inference-service] warnings.warn( [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-precise-prefix-cache-inline-config-workload-llmd-simulator-kvcache] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator0] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator1] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-gateway-ref-router-with-managed-route-model-fb-opt-125m-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator2] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf0] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf1] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-no-scheduler-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service_stop.py::test_llm_stop_feature[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service_stop.py:40: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_tls.py::test_llm_tls_resources[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_tls.py:93: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html [e2e-llm-inference-service] ---------- generated xml file: /workspace/artifacts-dir/junit_e2e.xml ---------- [e2e-llm-inference-service] --------------------------------- JSON report ---------------------------------- [e2e-llm-inference-service] report saved to: /workspace/artifacts-dir/e2e_results.json [e2e-llm-inference-service] =========================== short test summary info ============================ [e2e-llm-inference-service] FAILED llmisvc/test_llm_auth.py::test_llm_auth_enabled_requires_token[cluster_cpu-cluster_single_node-auth-enabled-default] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator1] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator2] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf1] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-no-scheduler-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-fb-opt-125m] [e2e-llm-inference-service] FAILED llmisvc/test_storage_version_migration.py::TestStorageVersionMigration::test_storage_version_migration_after_simulated_upgrade [e2e-llm-inference-service] ERROR llmisvc/test_rolling_upgrade.py::test_rolling_upgrade_coordination[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-model-fb-opt-125m] [e2e-llm-inference-service] !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 10 failures !!!!!!!!!!!!!!!!!!!!!!!!!! [e2e-llm-inference-service] !!!!!!!!!!!! xdist.dsession.Interrupted: stopping after 5 failures !!!!!!!!!!!!! [e2e-llm-inference-service] == 9 failed, 25 passed, 3 skipped, 22 warnings, 1 error in 5993.29s (1:39:53) == [must-gather] [must-gather ] OUT 2026-07-13T22:11:27.95938141Z Using must-gather plug-in image: quay.io/modh/must-gather:rhoai-2.24 [must-gather] When opening a support case, bugzilla, or issue please include the following summary data along with any other requested information: [must-gather] ClusterID: fd29b201-d8f6-4b72-b545-a38a4a342fef [must-gather] ClientVersion: 4.21.10 [must-gather] ClusterVersion: Stable at "4.21.24" [must-gather] ClusterOperators: [must-gather] clusteroperator/dns is not available (DNS "default" is unavailable.) because DNS default is degraded [must-gather] clusteroperator/image-registry is not available (Available: The deployment does not have available replicas [must-gather] NodeCADaemonAvailable: The daemon set node-ca does not have available replicas [must-gather] ImagePrunerAvailable: Pruner CronJob has been created) because [must-gather] clusteroperator/ingress is not available (The "default" ingress controller reports Available=False: IngressControllerUnavailable: One or more status conditions indicate unavailable: DeploymentAvailable=False (DeploymentUnavailable: The deployment has Available status condition set to False (reason: MinimumReplicasUnavailable) with message: Deployment does not have minimum availability.)) because The "default" ingress controller reports Degraded=True: DegradedConditions: One or more other status conditions indicate a degraded state: DeploymentAvailable=False (DeploymentUnavailable: The deployment has Available status condition set to False (reason: MinimumReplicasUnavailable) with message: Deployment does not have minimum availability.). [must-gather] clusteroperator/network is progressing: DaemonSet "/openshift-ovn-kubernetes/ovnkube-node" is not available (awaiting 3 nodes) [must-gather] DaemonSet "/openshift-network-operator/iptables-alerter" is not available (awaiting 3 nodes) [must-gather] DaemonSet "/openshift-multus/multus" is not available (awaiting 3 nodes) [must-gather] DaemonSet "/openshift-multus/multus-additional-cni-plugins" is not available (awaiting 3 nodes) [must-gather] DaemonSet "/openshift-multus/network-metrics-daemon" is not available (awaiting 3 nodes) [must-gather] Deployment "/openshift-network-console/networking-console-plugin" is not available (awaiting 1 nodes) [must-gather] clusteroperator/node-tuning is not available (DaemonSet "tuned" has no available Pod(s)) because DaemonSet "tuned" available [must-gather] clusteroperator/storage is not available (AWSEBSCSIDriverOperatorCRAvailable: AWSEBSDriverNodeServiceControllerAvailable: Waiting for the DaemonSet to deploy the CSI Node Service) because AWSEBSCSIDriverOperatorCRDegraded: All is well [must-gather] clusteroperator/authentication is missing [must-gather] clusteroperator/cloud-credential is missing [must-gather] clusteroperator/cluster-autoscaler is missing [must-gather] clusteroperator/config-operator is missing [must-gather] clusteroperator/etcd is missing [must-gather] clusteroperator/machine-api is missing [must-gather] clusteroperator/machine-approver is missing [must-gather] clusteroperator/machine-config is missing [must-gather] clusteroperator/marketplace is missing [must-gather] [must-gather] [must-gather] [must-gather ] OUT 2026-07-13T22:11:28.012970104Z namespace/openshift-must-gather-zcsp6 created [must-gather] [must-gather ] OUT 2026-07-13T22:11:28.022842609Z clusterrolebinding.rbac.authorization.k8s.io/must-gather-chk2r created [must-gather] [must-gather ] OUT 2026-07-13T22:11:28.0457204Z pod for plug-in image quay.io/modh/must-gather:rhoai-2.24 created [must-gather] [must-gather-lwfjn] OUT 2026-07-13T22:14:08.046409198Z gather did not start: resource name may not be empty [must-gather] [must-gather ] OUT 2026-07-13T22:14:08.054732301Z namespace/openshift-must-gather-zcsp6 deleted [must-gather] [must-gather] [must-gather] Reprinting Cluster State: [must-gather] When opening a support case, bugzilla, or issue please include the following summary data along with any other requested information: [must-gather] ClusterID: fd29b201-d8f6-4b72-b545-a38a4a342fef [must-gather] ClientVersion: 4.21.10 [must-gather] ClusterVersion: Stable at "4.21.24" [must-gather] ClusterOperators: [must-gather] clusteroperator/dns is not available (DNS "default" is unavailable.) because DNS default is degraded [must-gather] clusteroperator/image-registry is not available (Available: The registry is removed [must-gather] NodeCADaemonAvailable: The daemon set node-ca does not have available replicas [must-gather] ImagePrunerAvailable: Pruner CronJob has been created) because Degraded: The registry is removed [must-gather] clusteroperator/ingress is not available (The "default" ingress controller does not exist.) because The "default" ingress controller does not exist. [must-gather] clusteroperator/network is progressing: Deployment "/openshift-network-console/networking-console-plugin" is not available (awaiting 1 nodes) [must-gather] clusteroperator/node-tuning is not available (DaemonSet "tuned" has no available Pod(s)) because DaemonSet "tuned" available [must-gather] clusteroperator/storage is not available (AWSEBSCSIDriverOperatorCRAvailable: AWSEBSDriverNodeServiceControllerAvailable: Waiting for the DaemonSet to deploy the CSI Node Service) because AWSEBSCSIDriverOperatorCRDegraded: All is well [must-gather] clusteroperator/authentication is missing [must-gather] clusteroperator/cloud-credential is missing [must-gather] clusteroperator/cluster-autoscaler is missing [must-gather] clusteroperator/config-operator is missing [must-gather] clusteroperator/etcd is missing [must-gather] clusteroperator/machine-api is missing [must-gather] clusteroperator/machine-approver is missing [must-gather] clusteroperator/machine-config is missing [must-gather] clusteroperator/marketplace is missing [must-gather] [must-gather] [must-gather] error: gather did not start for pod must-gather-lwfjn: resource name may not be empty [git-push-artifacts] WORK_DIR: /workspace/odh-ci-artifacts [git-push-artifacts] REPO_PATH: opendatahub-io/odh-build-metadata [git-push-artifacts] REPO_BRANCH: ci-artifacts [git-push-artifacts] SPARSE_FILE_PATH: test-artifacts/docs [git-push-artifacts] SOURCE_PATH: /workspace/artifacts-dir [git-push-artifacts] DEST_PATH: test-artifacts/kserve-group-test-kkqnm [git-push-artifacts] ALWAYS_PASS: false [git-push-artifacts] configuring gh token [git-push-artifacts] taking github token from Konflux bot [git-push-artifacts] Initialized empty Git repository in /workspace/odh-ci-artifacts/.git/ [git-push-artifacts] Using partial fetch with sparse checkout for: test-artifacts/docs [git-push-artifacts] From https://github.com/opendatahub-io/odh-build-metadata [git-push-artifacts] * branch ci-artifacts -> FETCH_HEAD [git-push-artifacts] * [new branch] ci-artifacts -> origin/ci-artifacts [git-push-artifacts] Already on 'ci-artifacts' [git-push-artifacts] branch 'ci-artifacts' set up to track 'origin/ci-artifacts'. [git-push-artifacts] TASK_NAME=kserve-group-test-kkqnm-e2e-llm-inference-service [git-push-artifacts] PIPELINERUN_NAME=kserve-group-test-kkqnm [git-push-artifacts] From https://github.com/opendatahub-io/odh-build-metadata [git-push-artifacts] * branch ci-artifacts -> FETCH_HEAD [git-push-artifacts] Already up to date. [git-push-artifacts] -rw-r--r--. 1 root 1001540000 129611 Jul 13 22:14 /workspace/odh-ci-artifacts/test-artifacts/kserve-group-test-kkqnm/e2e-llm-inference-service.tar.gz [git-push-artifacts] [ci-artifacts 8e93329] Updating CI Artifacts in e2e-llm-inference-service [git-push-artifacts] 1 file changed, 0 insertions(+), 0 deletions(-) [git-push-artifacts] create mode 100644 test-artifacts/kserve-group-test-kkqnm/e2e-llm-inference-service.tar.gz [git-push-artifacts] From https://github.com/opendatahub-io/odh-build-metadata [git-push-artifacts] * branch ci-artifacts -> FETCH_HEAD [git-push-artifacts] Already up to date. [git-push-artifacts] To https://github.com/opendatahub-io/odh-build-metadata.git [git-push-artifacts] 8e91653..8e93329 ci-artifacts -> ci-artifacts [fail-if-needed] Failing pipeline because deploy-and-e2e step failed container step-fail-if-needed has failed : [{"key":"StartedAt","value":"2026-07-13T22:14:12.119Z","type":3}]